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От сигнатур к ML IDS: чему IDS Suricata может научить модель?

В настоящее время для противодействия компьютерным атакам применяются разнообразные средства защиты информации:

  • межсетевые экраны;

  • системы обнаружения вторжений уровня сети;

  • системы обнаружения вторжений уровня хоста;

  • межсетевые экраны нового поколения (NGFW);

  • SIEM системы (также называемые – событийные системы обнаружения компьютерных атак);

  • криптографические средства защиты сетей связи;

  • и другие классы средств.

Каждое из перечисленных выше средств обладает своими достоинствами и недостатками, а выбор в применяемых средствах конкретной компанией зависит от разных причин: финансовых, инфраструктурных или других.

Системы обнаружения атак уровня сети

Основным способом выявления компьютерных атак остается применение сигнатурного анализа. Главным его недостатком является практически нулевая вероятность обнаружения новых или модифицированных деструктивных сетевых воздействий.

Следовательно, решение задачи обнаружения модифицированных и, желательно, новых компьютерных атак с использованием эвристических или интеллектуальных методов (ML IDS) является актуальной и перспективной.

Формулировки задачи построения ML IDS уровня сети:

  1. Провести классификацию сетевого трафика, разделив его на 2 (или более) класса: «чистый» сетевой трафик и компьютерная атака (деструктивное воздействие). Если есть возможность, то класс компьютерных атак разбивают на подклассы и тогда можно говорить о много классовой классификации.

  2. выявить аномалию (аномальное сетевое соединение / сетевую сессию / сетевой пакет) в сети связи.

Принципиальные отличия в формулировках задач построения ML IDS:

  • при построении классификатора сетевого трафика для обучения ML IDS требуется размеченный датасет, содержащий образцы (вектора признаков), принадлежащие всем распознаваемым классам, что в «реальной» жизни может быть затруднительно.

    Некоторые причины затруднений формирования датасетов: владелец защищаемого ресурса может быть против того, чтобы атаковали его ресурс; невозможно создать точную модель защищаемого ресурса с необходимой инфраструктурой создать затруднительно; множество инструментов атак открытое и «хороший» датасет собрать сложно и другие причины;

  • при построении системы выявления аномалий исследователю известен только один вид трафика: "чистый" сетевой трафик, не содержащий признаков деструктивных воздействий.

Подробнее про процесс разработки ML IDS, а также атаках на ML IDS можно прочитать в статье "Состязательные атаки против системы обнаружения вторжений, основанной на применении методов машинного обучения".

В данной публикации пойдет речь о построении системы обнаружения вторжений уровня сети с использованием методов машинного обучения (далее ML IDS).

Попыток построить ML IDS уровня сети с использованием классификаторов достаточно много и в статьях результаты зачастую очень хорошие (например, "Синтез модели машинного обучения для обнаружения компьютерных атак на основе набора данных CICIDS2017").

Однако сами авторы признаются, что высокое качество классификации наблюдается исключительно на их стендах (инфраструктуре), там, где происходило обучение моделей, а их перенос на другие сети связи показывает более низкие результаты. Это связано с тем, что наиболее известные инструменты сбора и разметки сетевого трафика для ML IDS уровня сети формируют вектора признаков, содержащих признаки, непосредственно зависящие от физической структуры сети, в которой производился сбор сетевого трафика, настроек сетевого оборудования, а также конкретных реализаций сетевых сервисов. Отличия же в них приводят к возникновению ошибок классификатора и снижению точности модели.

О чем же эта статья?

В связи с вышесказанным у авторов статьи возникли вопросы:

  • можно ли построить ML IDS уровня сети на уже эксплуатируемой сети связи?

  • можно ли обучить ML IDS не атакуя защищаемый ресурс намеренно? Другими словами: можно ли обучить ML IDS опираясь на зарегистрированные классическими средствами обнаружения вторжений события (например, IDS Suricata)?

  • какие возникают при этом трудности?

  • какое при этом ожидать качество классификации?

  • какие при этом будут ограничения?

Для ответа на эти вопросы была выдвинута гипотеза о возможности построения ML IDS уровня сети с применением событий безопасности, зарегистрированных IDS Suricata, для разметки датасетов.

Для формирования векторов признаков сетевого трафика был разработан собственный инструмент расчета значений вектора признаков сетевого трафика для каждого сетевого соединения session_analyzer (в проведенном нами исследовании использовался только протокол TCP, в общем случае инструмент позволяет проводить анализ и других протоколов).

Необходимо отметить, что утилита session_analyzer – это аналог инструмента разметки сетевого трафика NTLFlowLyzer (https://github.com/ahlashkari/CICFlowMeter).

Описание процесса функционирования инструмента session_analyzer

Принципы формирования векторов признаков сетевого трафика, реализованный в утилите session_analyzer

  1. Анализу подлежат все сетевые пакеты следующих сетевых протоколов: Ethernet II, MPLS, VLAN, IPv4, TCP, UDP, ICMPv4. Сетевые пакеты других протоколов канального, сетевого и транспортного уровня отбрасываются.

  2. Идентификатором сетевой сессии (Flow ID) является символьная последовательность, состоящая из 5 компонент (5-Tuple): Destination IP-Source IP-Destination Port-Source Port-Proto.

  3. Под сетевой сессией понимается последовательность сетевых пакетов принадлежащих одному TCP соединению, UDP потоку или последовательности ICMP пакетов (ICMP поток).

    Идентификация принадлежности пакета к определенной сессии осуществляется по совпадению адресной информации 5-Tuple:
    или Destination IP-Source IP-Destination Port-Source Port-Proto;
    или Source IP- Destination IP- Source Port-Destination Port-Proto.

  4. Критерий начала сетевой сессии:
    – TCP сессия (соединение) регистрируется и для нее производится расчет вектора признаков только в том случае, если в наблюдаемой сессии первым пакетом был сетевой пакет с установленным флагом SYN=1 и флагом ACK = 0 в TCP пакете. По данному пакету определяется направление передачи данных (т.е. какой IP адрес считается источником (отправителем / клиентом) и какой IP адрес считается адресом назначения (сервером);
    – UDP / ICMP сессия (поток) регистрируется при появлении первого сетевого пакета с новым идентификатором пакета. По первому пакету определяется направление (инициатор) передачи данных. При таком подходе возможна ошибка определения направления передачи данных (например, session_analyzer в начальный момент времени, сразу после своего запуска может увидеть первым и единственным пакетом DNS ответ, и данный пакет будет проанализирован).

  5. Критерий окончания сетевой сессии:
    – для любых сетевых сессий встроен таймаут, таймаут отсчитывается от последнего принятого пакета в сетевой сессии. В конфигурационных файлах задаются 3 таймаута, выраженных в миллисекундах.
    Значения по умолчанию:
    tcp_session_timeout = 60000 – для TCP сессий;
    udp_session_timeout = 60000 – для UDP сессий;
    icmp_session_timeout = 60000 – для ICMP пакетов, относящихся к одной сессии.
    – дополнительно для TCP сессий отслеживаются пакеты разрыва TCP соединений, предусмотрены ожидание следующих сценариев разрыва соединений:
    сценарий 1: клиент или сервер присылает пакет с установленным флагом RST, после такого пакета сессия считается закрытой;
    сценарий 2: клиент является инициатором разрыва соединения и посылает пакет с установленным флагом FIN, тогда возможны 2 варианта ответа от сервера:
    – если сервер присылает пакет с установленным флагом RST, то сессия считается закрытой;
    – если анализатор получает пакет от клиента или сервера с установленным флагом FIN, то анализатор запускает стандартный механизм отслеживания подтверждения получения данных (SeqNumber и AсkNumber) для двух сторон взаимодействия, после подтверждения (установленный файл ACK) обоими сторонами получения пакетов с установленными флагами FIN сессия считается закрытой.

  6. Поток (в названиях признаков – Flow) сетевых пакетов – это строгая (т.е. важен порядок следования) последовательность сетевых пакетов, которые принимает анализатор в рамках одной сетевой сессии. Очевидно, что в данном случае направление передачи данных не учитывается.

  7. Поток сетевых пакетов в направлении Forward (в названиях признаков – Fwd) – это строгая последовательность сетевых пакетов, передаваемых от клиента к серверу, в рамках одной сетевой сессии.

  8. Поток сетевых пакетов в направлении Backward (в названиях признаков – Bwd) – это строгая последовательность сетевых пакетов, передаваемых от сервера к клиенту, в рамках одной сетевой сессии.

  9. Длительность сетевой сессии может быть рассчитана 2 способами:
    – от времени первого пакета в сетевой сессии до времени поступления последнего пакета в сетевой сессии (параметр в конфигурационном файле: is_need_calc_duration_by_last_payload = false);
    – от времени первого пакета в сетевой сессии до времени поступления последнего пакета с полезными данными (где длина payload > 0) в сетевой сессии (параметр в конфигурационном файле: is_need_calc_duration_by_last_payload = true).

  10. Для оценки «единственности / независимости» текущей сетевой сессии было введено понятие потока сетевых сессий от заданного источника сессий на заданный сетевой ресурс – это множество сетевых сессий созданных между одним хостом (Source IP) и заданным сетевым сервисом (Destination IP + Destination Port + Proto). Т.е. идентификатором потока сетевых сессии является число сформированная конкатенацией четырех чисел:
    stream_id = IP-Source | IP-Destination | Port- Destination | Proto.
    Для описания «единственности / независимости» текущей сетевой сессии используются различные признаки, которые характеризуют:
    – наличие параллельных сетевых сессии для текущего потока сетевых сессии;
    – время возникновения текущей сетевой сессии по сравнению с параллельными сетевыми сессиями для данного потока сессий;
    – время между появлениями сетевых сессии для данного потока сессий.
    Множество признаки данной группы в названиях содержат слово Stream.

  11. Сетевые сессии в потоке считаются «независимыми» – это время между созданием сетевых сессий в потоке превышает заданный порог session_simple_timeout.
    По умолчанию, session_simple_timeout = 60000000 микросекунд.

  12. Временной интервал между текущей сессий и предыдущей сессией в потоке сетевых сессий ограничен порогом session_time_prev_absent, если текущая сессия является первой в потоке сессий или время ее создания превышает session_time_prev_absent, то значение соответствующего признака выставляется равным session_time_prev_absent.
    По умолчанию, session_time_prev_absent = 60000000 микросекунд.

  13. Временной интервал между текущей сессий и следующей сессией (если такое время можно измерить, т.е. новая сессия создана раньше времени окончания текущей в потоке сессий) в потоке сетевых сессий также ограничен порогом session_time_next_absent, если текущая сессия является последней в потоке сессий или время создания следующей сессии превышает session_time_next_absent, то значение соответствующего признака выставляется равным session_time_next_absent.
    По умолчанию, session_time_next_absent = 60000000 микросекунд.

  14. Значения признаков, характеризующих последовательность сетевых пакетов относящихся к одной сетевой сессии, могут быть рассмотрены как случайная величина. Для такой случайной величины рассчитываются следующие характеристики: количество значений в последовательности, минимальной и максимальное значение случайной величины, оценка математического ожидания, несмещенная оценка дисперсии случайной величины и несмещенная оценка среднеквадратичного отклонения случайной величины (таблица 1).

  15. Для описания каждой сетевой сессии формируется вектор из 118 признаков (ниже представлено их описание). Названия ряда нижеперечисленных признаков взяты из перечня признаков инструмента CICFlowMeter, при расчете значений признаков были учтены недостатки, выявленные нами и указанные в статье: "Я больше не верю публичным датасетам".

Расчет значений вектора признаков сетевого трафика, реализованный в утилите session_analyzer

Для расчета некоторых характеристик случайной величины, при классическом способе расчета, необходимо хранить все значения последовательности, для же экономии памяти можно использовать алгоритмы online математики (метод Уэлфорда для расчета оценок математического ожидания, несмещенной оценки дисперсии и несмещенной оценки среднеквадратичного отклонения случайной величины).

Перечень характеристик случайной величины и выражения для из расчета.

  1. Количество значений в последовательности. Сокращение (префикс) добавляемый к названию признака – Count.

  2. Минимальное значение случайной величины в последовательности. Сокращение (префикс) добавляемый к названию признака – Min.

  3. Максимальное значение случайной величины в последовательности. Сокращение (префикс) добавляемый к названию признака – Max.

  4. Оценка математического ожидания случайной величины. Сокращение (префикс) добавляемый к названию признака – Mean.
    Классический способ расчета:

    Mean={1\over n}*\displaystyle\sum_{i=1}^n{x_i}

    Online способ расчета:

    Mean_0=0;     Mean_i = Mean_{i-1}+{(x_i-Mean_{i-1})\over Count}
  5. Несмещенная оценка дисперсии случайной величины. Сокращение (префикс) добавляемый к названию признака – Variance.
    Классический способ расчета:

    Variance={1\over {n-1}}*\displaystyle\sum_{i=1}^n{{(x_i-Mean)^2}}

    Online способ расчета:

    Var_0=0; Variance=0;Var_i=Var_{i-1}+(x_i-Mean_{i-1})*(x_i-Mean_i);При Count>1: Variance={Var_i \over Count}
  6. Несмещенная оценка среднеквадратичного отклонения случайной величины. Сокращение (префикс) добавляемый к названию признака – Std.

Std=\sqrt{Variance}

Описание признаков, характеризующих сетевые сессии

п/п

Обозначение признака в наборе данных

Описание

Тип данных, пример

1.

Session Index

Индекс сессии

Целое число,
0

2.

SNI

Server Name Indication. Имя сервера, указанное в пакете ClientHello протокола TLS/SSL

Символьная строка,
dvwa.isp

3.

Flow ID

Идентификатор сессии

Символьная строка, 172.18.0.2-85.249.84.244-443-41782-6

4.

Source IP

IP адрес источника сетевой сессии

Символьная строка,
85.249.84.244

5.

Source Port

Port транспортного уровня источника сетевой сессии

Целое 16-битное число,
41782

6.

Destination IP

IP адрес назначения сетевой сессии

Символьная строка,
172.18.0.2

7.

Destination Port

Port транспортного уровня назначения сетевой сессии

Целое 16-битное число,
443

8.

Protocol

Протокол транспортного уровня, может принимать следующие значения: 1 – ICMP, 6 – TCP, 17 – UDP

Целое 8 битное число,
6

9.

Timestamp

Метка времени, формат метки:

число.месяц.год час:мин.микросекунды

Символьная строка, 16.11.2021 11:41

10.

Flow Duration

Длительность сессии в микросекундах

Целое 64-битное число, 9772334

11.

Total Fwd Packets

Количество сетевых пакетов, переданных в направлении от клиента к серверу

Целое 64-битное число, 13

12.

Total Backward Packets

Количество сетевых пакетов, переданных в направлении от сервера к клиенту

Целое 64-битное число, 11

13.

Total Length of Fwd Packets

Суммарная длина полезных данных (payload) в байтах, переданных от клиента к серверу

Целое 64-битное число, 1929

14.

Total Length of Bwd Packets

Суммарная длина полезных данных (payload) в байтах, переданных от сервера к клиенту

Целое 64-битное число, 3695

Статистические характеристики длин передаваемых полезных данных (payload) в направлении Forward (от клиента к серверу), в байтах

15.

Fwd Packet Length Max

Максимальная длина пакета

Целое 64-битное число,
672

16.

Fwd Packet Length Min

Минимальная длина пакета

Целое 64-битное число,
0

17.

Fwd Packet Length Mean

Оценка математического ожидания длин пакетов (средняя длина пакета)

Вещественное число,
148.38461538

18.

Fwd Packet Length Std

Несмещенная оценка среднеквадратичного отклонения длин пакетов

Вещественное число,
262.28341492

Статистические характеристики длин передаваемых полезных данных (payload) в направлении Backward (от сервера к клиенту), в байтах

19.

Bwd Packet Length Max

Максимальная длина пакета

Целое 64-битное число,
1415

20.

Bwd Packet Length Min

Минимальная длина пакета

Целое 64-битное число,
0

21.

Bwd Packet Length Mean

Оценка математического ожидания длин пакетов (средняя длина пакета)

Вещественное число,
335.90909091

22.

Bwd Packet Length Std

Несмещенная оценка среднеквадратичного отклонения длин пакетов

Вещественное число,
539.65793880

23.

Flow Bytes/s

Отношение суммарной длины переданных полезных данных (payload) (в байтах) к длительности сетевой сессии (в секундах). Длительность сетевой сессии может быть рассчитана 2 способами см. п. 10

Вещественное число,
575.50222905

24.

Flow Packets/s

Отношение общего количества сетевых пакетов в сетевой сессии к длительности сетевой сессии (в секундах). Длительность сетевой сессии может быть рассчитана 2 способами см. п. 10.

Вещественное число, 2.45591278

Статистические характеристики межпакетных интервалов в потоке сетевых пакетов Flow (без учета направления передачи данных), первый пакет сетевой сессии считается началом отсчета времени, первое значение межпакетного интервала рассчитывается при получении второго пакета (не зависимо от направления передачи данных). Межпакетные интервалы измеряются в микросекундах

25.

Flow IAT Mean

Оценка математического ожидания межпакетных интервалов

Вещественное число,
424884.0869565

26.

Flow IAT Std

Несмещенная оценка среднеквадратичного отклонения межпакетных интервалов

Вещественное число,
1349427.122279

27.

Flow IAT Max

Максимальное значение межпакетного интервала

Целое 64-битное число,
4952858

28.

Flow IAT Min

Минимальное значение межпакетного интервала

Целое 64-битное число,
17

Статистические характеристики межпакетных интервалов в потоке сетевых пакетов Forward (от клиента к серверу), первый пакет в направлении Forward считается началом отсчета времени, первое значение межпакетного интервала рассчитывается при получении второго пакета в направлении Forward. Межпакетные интервалы измеряются в микросекундах

29.

Fwd IAT Total

Суммарное значение всех межпакетных интервалов в направлении Forward

Целое 64-битное число,
9772334

30.

Fwd IAT Mean

Оценка математического ожидания межпакетных интервалов в направлении Forward

Вещественное число,
814361.166667

31.

Fwd IAT Std

Несмещенная оценка среднеквадратичного отклонения межпакетных интервалов в направлении Forward

Вещественное число,
1827899.8492

32.

Fwd IAT Max

Максимальное значение межпакетного интервала в направлении Forward

Целое 64-битное число,
5003029

33.

Fwd IAT Min

Минимальное значение межпакетного интервала в направлении Forward

Целое 64-битное число,
255

Статистические характеристики межпакетных интервалов в потоке сетевых пакетов Backward (от сервера к клиенту), первый пакет в направлении Backward считается началом отсчета времени, первое значение межпакетного интервала рассчитывается при получении второго пакета в направлении Forward

34.

Bwd IAT Total

Суммарное значение всех межпакетных интервалов в направлении Backward

Целое 64-битное число,
5247374

35.

Bwd IAT Mean

Оценка математического ожидания межпакетных интервалов в направлении Backward

Вещественное число,
524737.4

36.

Bwd IAT Std

Несмещенная оценка среднеквадратичного отклонения межпакетных интервалов в направлении Backward

Вещественное число,
1573943.9826

37.

Bwd IAT Max

Максимальное значение межпакетного интервала в направлении Backward

Целое 64-битное число,
5002839

38.

Bwd IAT Min

Минимальное значение межпакетного интервала в направлении Backward

Целое 64-битное число,
237

39.

Fwd Header Length

Суммарная длина заголовков транспортного уровня (TCP / UDP) при передаче данных в направлении Forward (от клиента к серверу)

Целое 64-битное число,
424

40.

Bwd Header Length

Суммарная длина заголовков транспортного уровня (TCP / UDP) при передаче данных в направлении Backward (от сервера к клиенту)

Целое 64-битное число,
360

41.

Fwd Packets/s

Отношение общего количества сетевых пакетов, переданных в направлении Forward (от клиента к серверу), к длительности сетевой сессии (в секундах). Длительность сетевой сессии может быть рассчитана 2 способами см. п. 10.

Вещественное число,
1.33028609

42.

Bwd Packets/s

Отношение общего количества сетевых пакетов, переданных в направлении Backward (от сервера к клиенту), к длительности сетевой сессии (в секундах). Длительность сетевой сессии может быть рассчитана 2 способами см. п. 10.

Вещественное число,
1.12562669

Статистические характеристики длин передаваемых полезных данных (payload) без учета направления передачи данных, в байтах

43.

Min Packet Length

Минимальная длина пакета

Целое 64-битное число,
0

44.

Max Packet Length

Максимальная длина пакета

Целое 64-битное число,
1415

45.

Packet Length Mean

Оценка математического ожидания длин пакетов (средняя длина пакета)

Вещественное число,
234.3333

46.

Packet Length Std

Несмещенная оценка среднеквадратичного отклонения длин пакетов

Вещественное число,
414.27492097

47.

Packet Length Variance

Несмещенная оценка дисперсии длин пакетов

Вещественное число, 171623.7101

48.

Average Packet Size

Оценка математического ожидания длин пакетов (средняя длина пакета).

Данный признак повторяется и равен значению Packet Length Mean

Вещественное число,
234.3333

Количество сетевых пакетов, переданных в направлении Forward (от клиента к серверу), содержащих заданный флаг равный 1 в заголовке TCP пакета

49.

Fwd FIN Flags

FIN = 1

Целое 64-битное число,
0

50.

Fwd SYN Flags

SYN = 1

Целое 64-битное число,
1

51.

Fwd RST Flags

RST = 1

Целое 64-битное число,
1

52.

Fwd PSH Flags

PSH = 1

Целое 64-битное число,
4

53.

Fwd ACK Flags

ACK = 1

Целое 64-битное число,
12

54.

Fwd URG Flags

URG = 1

Целое 64-битное число,
0

55.

Fwd ECE Flags

ECE = 1

Целое 64-битное число,
0

56.

Fwd CWR Flags

CWR = 1

Целое 64-битное число,
0

57.

Fwd NS Flags

NS = 1

Целое 64-битное число,
0

Количество сетевых пакетов, переданных в направлении Backward (от сервера к клиенту), содержащих заданный флаг равный 1 в заголовке TCP пакета

58.

Bwd FIN Flags

FIN = 1

Целое 64-битное число,
1

59.

Bwd SYN Flags

SYN = 1

Целое 64-битное число,
1

60.

Bwd RST Flags

RST = 1

Целое 64-битное число,
0

61.

Bwd PSH Flags

PSH = 1

Целое 64-битное число,
5

62.

Bwd ACK Flags

ACK = 1

Целое 64-битное число,
11

63.

Bwd URG Flags

URG = 1

Целое 64-битное число,
0

64.

Bwd ECE Flags

ECE = 1

Целое 64-битное число,
0

65.

Bwd CWR Flags

CWR = 1

Целое 64-битное число,
0

66.

Bwd NS Flags

NS = 1

Целое 64-битное число,
0

67.

Stream Session Number

Номер сетевой сессии

Целое 64-битное число,
0

68.

Stream Was Prev Session

Есть ли предыдущая сетевая сессия в потоке?

Целое 8-битное число,
0

69.

Stream Was Next Session

Есть ли следующая сетевая сессия после текущей в потоке?

Целое 8-битное число,
1

70.

Stream Prev Session Time

Время в микросекундах между созданием текущей сетевой сессии и предыдущей сетевой сессией. Ограничение значения данного признака описано в п.12.

Целое 64-битное число,
60000000

71.

Stream Next Session Time

Время в микросекундах между созданием следующей и текущей сетевой сессии. Ограничение значения данного признака описано в п.13.

Целое 64-битное число,
218

72.

Stream Sessions On Start

Число параллельных сетевых сессий в потоке сетевых сессий на момент создания текущей сессии (значение включает текущую сессию)

Целое 64-битное число,
1

73.

Stream Sessions On Close

Число параллельных сетевых сессий в потоке сетевых сессий на момент окончания текущей сессии (значение включает текущую сессию)

Целое 64-битное число,
2

74.

Stream Sessions Max

Максимальное число параллельных сетевых сессий за время существования текущей сетевой сессии (значение включает текущую сессию)

Целое 64-битное число,
3

Статистические характеристики интервалов между созданием сетевых сессий в потоке сессий в микросекундах

75.

Stream Session Intervals Min

Минимальное значение интервала между сетевыми сессиями в потоке

Целое 64-битное число,
218

76.

Stream Session Intervals Max

Максимальное значение интервала между сетевыми сессиями в потоке

Целое 64-битное число,
9769550

77.

Stream Session Intervals Mean

Оценка математического ожидания значения интервала между сетевыми сессиями в потоке (среднее значение интервала между сетевыми сессиями в потоке)

Вещественное число,
4884884.0

78.

Stream Session Intervals Std

Несмещенная оценка среднеквадратичного отклонения значения интервала между сетевыми сессиями в потоке

Вещественное число,
6907960.905

Статистические характеристики длительностей сетевых сессий в потоке сессий в микросекундах

79.

Stream Session Durations Min

Минимальная длительность сетевой сессии в потоке

Целое 64-битное число,
9771073

80.

Stream Session Durations Max

Максимальная длительность сетевой сессии в потоке

Целое 64-битное число,
9772334

81.

Stream Session Durations Mean

Оценка математического ожидания длительностей сетевых сессии (средняя длительность сетевой сессии в потоке)

Вещественное число,
9771703.5

82.

Stream Session Durations Std

Несмещенная оценка среднеквадратичного отклонения длительностей сетевых сессии

Вещественное число,
891.66165108

83.

Stream Prev Session Time/Duration

Отношение времени в микросекундах между созданием текущей сетевой сессии и предыдущей сетевой сессией к длительности текущей сетевой сессии

Вещественное число,
6.13978196

84.

Stream Next Session Time/Duration

Отношение времени в микросекундах между созданием следующей и текущей сетевой сессии к длительности текущей сетевой сессии

Вещественное число,
0.00002231

85.

Stream Session Intervals Min/Duration

Отношение минимального значения интервала между сетевыми сессиями в потоке к длительности текущей сетевой сессии

Вещественное число,
0.00002231

86.

Stream Session Intervals Max/Duration

Отношение максимального значения интервала между сетевыми сессиями в потоке к длительности текущей сетевой сессии

Вещественное число,
0.99971511

87.

Stream Session Intervals Mean/Duration

Отношение среднего значения интервала между сетевыми сессиями в потоке к длительности текущей сетевой сессии

Вещественное число,
0.49986871

88.

Stream Session Intervals Std/Duration

Отношение среднеквадратичного отклонения значения интервала между сетевыми сессиями в потоке к длительности текущей сетевой сессии

Вещественное число,
0.70688956

89.

Stream Session Durations Min/Duration

Отношение минимальной длительности сетевой сессии в потоке к длительности текущей сетевой сессии

Вещественное число,
0.99987096

90.

Stream Session Durations Max/Duration

Отношение максимальной длительности сетевой сессии в потоке к длительности текущей сетевой сессии

Вещественное число,
1.0

91.

Stream Session Durations Mean/Duration

Отношение среднего значения длительности сетевой сессии в потоке к длительности текущей сетевой сессии

Вещественное число,
0.9999

92.

Stream Session Durations Std/Duration

Отношение среднеквадратичного отклонения длительности сетевых сессий в потоке к длительности текущей сетевой сессии

Вещественное число,
0.00009124

Статистические характеристики мгновенных значений скорости передачи данных (учитывается длина полного пакета со всеми заголовками), выраженной в байтах в сек, в направлении Forward (от клиента к серверу)

93.

Fwd Bandwidth Min

Минимальное значение мгновенной скорости

Целое 64-битное число,
13

94.

Fwd Bandwidth Max

Максимальное значение мгновенной скорости

Целое 64-битное число,
2894117

95.

Fwd Bandwidth Mean

Оценка математического ожидания значений мгновенной скорости

Вещественное число,
322671.75

96.

Fwd Bandwidth Std

Несмещенная оценка среднеквадратичного отклонения значений мгновенной скорости

Вещественное число,
845316.235

Статистические характеристики мгновенных значений скорости передачи данных (учитывается длина полного пакета со всеми заголовками), выраженной в байтах в сек, в направлении Backward (от сервера к клиенту)

97.

Bwd Bandwidth Min

Минимальное значение мгновенной скорости

Целое 64-битное число,
19

98.

Bwd Bandwidth Max

Максимальное значение мгновенной скорости

Целое 64-битное число,
929922

99.

Bwd Bandwidth Mean

Оценка математического ожидания значений мгновенной скорости

Вещественное число,
234621.6

100.

Bwd Bandwidth Std

Несмещенная оценка среднеквадратичного отклонения значений мгновенной скорости

Вещественное число,
292243.2465

101.

Fwd Total Length div Duration

Отношение суммарной длина полезных данных (payload) в байтах, переданных от клиента к серверу, к длительности сессии

Вещественное число,
0.00019739

102.

Bwd Total Length div Duration

Отношение суммарной длина полезных данных (payload) в байтах, переданных от сервера к клиенту, к длительности сессии

Вещественное число,
0.00037811

Статистические характеристики межпакетных интервалов в потоке сетевых пакетов Forward (от клиента к серверу) на этапе установления соединения TCP, первый пакет в направлении Forward считается началом отсчета времени, первое значение межпакетного интервала рассчитывается при получении второго пакета в направлении Forward

103.

Fwd IAT Total HandShake

– суммарное значение всех межпакетных интервалов в направлении Forward

Целое 64-битное число,
9130

104.

Fwd IAT Mean HandShake

– оценка математического ожидания межпакетных интервалов в направлении Forward

Вещественное число,
9130.0

105.

Fwd IAT Std HandShake

– несмещенная оценка среднеквадратичного отклонения межпакетных интервалов в направлении Forward

Вещественное число,
0.0

106.

Fwd IAT Max HandShake

– максимальное значение межпакетного интервала в направлении Forward

Целое 64-битное число,
9130

107.

Fwd IAT Min HandShake

– минимальное значение межпакетного интервала в направлении Forward

Целое 64-битное число,
9130

Статистические характеристики межпакетных интервалов в потоке сетевых пакетов Backward (от сервера к клиенту) на этапе установления соединения TCP, первый пакет в направлении Backward считается началом отсчета времени, первое значение межпакетного интервала рассчитывается при получении второго пакета в направлении Backward

108.

Bwd IAT Total HandShake

– суммарное значение всех межпакетных интервалов в направлении Backward

Целое 64-битное число,
0

109.

Bwd IAT Mean HandShake

– оценка математического ожидания межпакетных интервалов в направлении Backward

Вещественное число,
0

110.

Bwd IAT Std HandShake

– несмещенная оценка среднеквадратичного отклонения межпакетных интервалов в направлении Backward

Вещественное число,
0

111.

Bwd IAT Max HandShake

– максимальное значение межпакетного интервала в направлении Backward

Целое 64-битное число,
0

112.

Bwd IAT Min HandShake

– минимальное значение межпакетного интервала в направлении Backward

Целое 64-битное число,
0

Статистические характеристики межпакетных интервалов в сетевой сессии без учета направления передачи пакетов (от сервера к клиенту) на этапе установления соединения TCP, первый пакет в сетевой сессии считается началом отсчета времени, первое значение межпакетного интервала рассчитывается при получении второго пакета

113.

Flow IAT Total HandShake

Суммарное значение всех межпакетных интервалов

Целое 64-битное число,
9130

114.

Flow IAT Mean HandShake

Оценка математического ожидания межпакетных интервалов

Вещественное число,
4565.0

115.

Flow IAT Std HandShake

Несмещенная оценка среднеквадратичного отклонения межпакетных интервалов

Вещественное число,
6380.932

116.

Flow IAT Max HandShake

Максимальное значение межпакетного интервала

Целое 64-битное число,
9077

117.

Flow IAT Min HandShake

Минимальное значение межпакетного интервала

Целое 64-битное число,
53

118.

Http Reqest

Http запрос, который был отправлен на сервер

Символьная строка

Исходные данные исследования

Для проведения эксперимента был развернут стенд на базе одной из известных компаний РФ и проведен натурный эксперимент.

В состав стенда входят два сервера, на которые заведен один и тот же сетевой трафик компании. Данный трафик включает в себя как обмен между пользователями компании (порядка 200 пользователей, выполняющих различные задачи в рамках своих должностных функций), так и выход сотрудников в сеть Интернет.

При этом:

  • на первом сервере развернут сертифицированный NGFW, в состав которого входит система обнаружения вторжений уровня сети с актуальными решающими правилами (сигнатуры регулярно обновлялись, в том числе в процессе постановки эксперимента). Ядром данной системы обнаружения вторжений является модифицированная IDS Suricata (далее и будет применяться сокращение IDS Suricata);

  • на втором сервере развернута разработанная нами утилита session_analyzer, на вход которой поступал тот же самый сетевой трафик, что и на IDS Suricata.

Такая схема сбора и анализа сетевого трафика была выбрана по нескольким причинам:

  • функционирование NGFW и session_analyzer в общем случае является весьма затратной темой (повышенные требования к производительности серверов);

  • совмещение ML IDS c NGFW – это отдельная сложная и финансово затратная задача, требующая задействования команды разработчиков;

  • хотелось провести предварительные исследования «малой кровью» и ответить на вопросы, поставленные в публикации, а также выявить «подводные камни» перед внедрением ML IDS уровня сети в NGFW (в том числе, ответить на вопрос: стоит ли вообще внедрять ML IDS уровня сети в NGFW?).

Процесс преобразования данных от чтения сетевого трафика до формирования итогового датасета
Процесс преобразования данных от чтения сетевого трафика до формирования итогового датасета

Предварительное преобразование csv файла session_analyzer:

  1. из всего множества рассчитываемых признаков извлекается только адресная информация и 10 значимых признаков: columns_x = ['Average Packet Size', 'Flow Bytes/s', 'Max Packet Length', 'Fwd Packet Length Mean', 'Fwd IAT Min', 'Total Length of Fwd Packets', 'Fwd IAT Std', 'Flow IAT Mean', 'Fwd Packet Length Max','Fwd Header Length'];

  2. добавляются 3 колонки:
    Label – метка класса (может принимать 2 значения: Benign или Attack);
    Origin – источник информации о метке класса (может принимать 2 значения: «session» или «suricata»);
    Sid - идентификатор события (в данном случае sid события IDS Suricata или 0, если вектор признаков «чистый» трафик).
    В дальнейшем, при обучении ML IDS всем «чистым» векторам будет присвоено численное значение 0 (негативное решение классификатора), атакам – численное значение 1 (позитивное решение классификатора).

  3. проводится сопоставление векторов признаков с зарегистрированными событиями безопасности IDS Suricata и размечается датасет.

Важно! Множество из 10 значимых признаков выбрано на основе исследования, результаты которого представлены в статье "Синтез модели машинного обучения для обнаружения компьютерных атак на основе набора данных CICIDS2017".

Особенности процесса сопоставления векторов признаков с зарегистрированными событиями безопасности IDS Suricata

В общем случае утилиты IDS Suricata и session_analyzer могут быть расположены на разных, физически разнесенных, серверах (как в нашем случае) – это означает, что:

  1. Один и тот же трафик поступает на вход двух утилит в разное время. Эксперименты показали, что разница может составлять несколько мили секунд для двух серверов стоящих в одной стойке рядом друг с другом.

  2. В отдельных случаях может быть такое, что трафик, поступающий на вход утилит анализа, может различаться. Например, в случае, если администратор сети решит «перестраховаться» и на вход одной из утилит попадает трафик, который принимают в двух точках: до шлюза компании и после шлюза, а на вход другой утилиты поступает трафик только с одной точки наблюдения.

    В таком случае, при разметке датасета (сопоставлении векторов признаков с зарегистрированными событиями безопасности IDS Suricata), необходимо предусмотреть, что для одного и того же потока данных может быть 2 сетевых соединения (до шлюза и после шлюза). У таких «одинаковых» сетевых соединений будет различаться адресная информации (вступают в силу механизмы трансляции ip адресов и перенаправления портов транспортного уровня). В нашем случае, оказалось, что на session_analyzer поступает трафик с двух точек наблюдения – до и после шлюза компании.

    Пример случая, когда одному и тому же сетевому трафику соответствуют два сетевых соединения (до и после шлюза)
    Пример случая, когда одному и тому же сетевому трафику соответствуют два сетевых соединения (до и после шлюза)

    Этим двум соединениям до и после шлюза соответствует событие IDS Suricata (лишние поля вырезаны):
    2028762,"ET JA3 Hash - [Abuse.ch] Possible Trickbot", "2025-06-27 13:49:45.207703", "TCP", "10.180.180.6", 58557, "81.88.82.245", 443

  3. Время регистрации событий IDS Suricata (время зарегистрированной компьютерной атаки) и время соответствующего соединения (или же даже 2-х соединений) в session_analyzer различные.

    Это связано с тем, что в session_analyzer (и аналогичных утилитах) время, указанное в векторе признаков, характеризующих сетевое соединение, измеряется по первому сетевому пакету в потоке данных. В отличии от этого, в IDS Suricata (или других системах обнаружения компьютерных атак уровня сети) время компьютерной атаки обычно соответствует времени пакета, на котором произошло срабатывание анализатора. Эксперименты показали, что для некоторых сетевых атак на практике разница времени между двумя утилитами может превышать 20 секунд (гипотетически для медленной атаки – это время может быть еще больше).

Cбор сетевого трафика и предварительная обработка данных

Сбор и предварительная обработка сетевого трафика выполнялись в несколько этапов.

На 1 этапе две недели с 2025-06-26 по 2025-07-10 параллельно функционировали IDS Suricata и session_analyzer.

Результатом этого этапа стали 2 файла:

  • лог с зарегистрированными компьютерными атаками IDS Suricata;

  • лог с векторами признаков всех сетевых соединений сформированный session_analyzer за указанный период времени (каждая строчка лога представляет собой вектор значений признаков соединения и содержит 119 колонок);

На 2 этапе из лога IDS Suricata были извлечены все ip адреса, которые фигурировали в зарегистрированных событиях и из лога session_analyzer были удалены все строки, которые содержали ip адреса не встречающиеся в логах IDS Suricata (по факту в нашем случае – это примерно 25% всех соединений).

В итоге осталось 55548971 сетевых соединений (векторов, характеризующих каждое соединение).

На 3 этапе из лога session_analyzer убрали все лишние столбцы (признаки). Для этого в логе session_analyzer в каждом векторе с описанием сетевых соединений отставили только адресную информацию (время начала соединения и 5-tuple: ip адреса + порты транспортного уровня + номер протокола транспортного уровня) и 10 информативных признаков для синтеза ML модели;

На 4 этапе провели сопоставление двух логов: IDS Suricata и session_analyzer для того, чтобы каждому вектору, характеризующему сетевые соединения указать метку класса: Benign («чистый» трафик) и Attack (компьютерная атака). При этом, была разработана утилита сопоставления, учитывающая все особенности приема сетевого трафика, которые были описаны выше.

Фрагмент итогового размеченного датасета
Фрагмент итогового размеченного датасета

Таким образом, после предварительной обработки данных и сопоставления 2-х логов датасет содержит 55548971 строк, при этом векторов чистого трафика (Benign) = 55491506, векторов компьютерных атак (Attack) = 57465.

Множество атак содержит 111 различных sid. В таблице ниже представлены атаки и их количество (атаки, которые за весь период наблюдения встречались 1 раз из таблицы убраны).


п/п

sid

Описание

Коли-чество

1.

1006217

HolaVPN detected

11988

2.

1006215

HolaVPN detected

11550

3.

1006221

HolaVPN detected

7908

4.

2028762

ET JA3 Hash - [Abuse.ch] Possible Trickbot

7102

5.

1003187

Anonymizer detected

7081

6.

2060504

ET INFO Observed Discord Service Domain (gateway .discord .gg) in TLS SNI

4775

7.

2050884

ET INFO Observed vk .com API Domain (api .vk .com in TLS SNI)

1373

8.

2053282

ET TA_ABUSED_SERVICES Commonly Actor Abused Online Service Domain (syncthing .net)

1296

9.

2014819

ET INFO Packed Executable Download

986

10.

2033967

ET HUNTING Observed Telegram API Domain (api .telegram .org in TLS SNI)

728

11.

41560233

HackTool.Nmap.TCP.ServerRequest

547

12.

2047703

ET INFO External IP Address Lookup Domain (ipify .org) in TLS SNI

341

13.

65158634

HackTool.Nmap.TCP.ServerRequest

198

14.

2035593

ET INFO DropBox User Content Domain (dl .dropboxusercontent .com in TLS SNI)

197

15.

2041933

ET INFO Observed Telegram Domain (t .me in TLS SNI)

187

16.

2022082

ET INFO External IP Lookup ip-api.com

185

17.

2402000

ET DROP Dshield Block Listed Source group 1

91

18.

28000001

(o)DoH Query for dns.google

85

19.

2035303

ET INFO Observed Chocolatey Windows Package Management Domain (chocolatey .org in TLS SNI)

69

20.

2052581

ET INFO Observed Alibaba Cloud CDN Domain (aliyuncs .com in TLS SNI)

62

21.

28000974

(o)DoH Query for httpdns-push.heytapmobile.com

61

22.

2060505

ET INFO Observed Discord Service Domain (discord .com) in TLS SNI

58

23.

2029634

ET HUNTING Suspected Malicious Telegram Communication (POST)

39

24.

2062715

ET INFO Observed UA-CPU Header

36

25.

1006213

MultiProxy Firefox Add-ons

36

26.

2026521

ET USER_AGENTS Suspicious User-Agent (Windows 10)

32

27.

2400009

ET DROP Spamhaus DROP Listed Traffic Inbound group 10

29

28.

1006319

PORT SCAN (NMAP -sA)

28

29.

1006585

Outbound connection to a possible C&C server

27

30.

1006554

IP blocklist

25

31.

1006556

IP blocklist

24

32.

1006555

IP blocklist

22

33.

2057746

ET INFO Observed Cloudflare Page Developer Domain (pages .dev in TLS SNI)

22

34.

1006557

IP blocklist

21

35.

58565362

Trojan-PSW.Agent.HTTP.C&C

14

36.

2029322

ET HUNTING Telegram API Certificate Observed

14

37.

2400059

ET DROP Spamhaus DROP Listed Traffic Inbound group 60

12

38.

2063118

ET INFO Abused Hosting Domain (azurewebsites .net) in TLS SNI

10

39.

2027695

ET INFO Observed Cloudflare DNS over HTTPS Domain (cloudflare-dns .com in TLS SNI)

9

40.

1800920

IP blocklist

9

41.

1802600

IP blocklist

9

42.

28000040

(o)DoH Query for mozilla.cloudflare-dns.com

8

43.

28000196

(o)DoH Query for dns.google.com

8

44.

2050633

ET INFO Observed File Hosting Service Domain (zohopublic .eu) in TLS SNI

8

45.

1006258

PlanetVPN

7

46.

1801497

IP blocklist

6

47.

2058779

ET INFO Observed Smart Chain Domain in TLS SNI (bsc-dataseed .binance .org)

6

48.

2027762

ET REMOTE_ACCESS AnyDesk Remote Desktop Software User-Agent

6

49.

2013927

ET INFO HTTP traffic on port 443 (HEAD)

5

50.

2046071

ET INFO Observed Google DNS over HTTPS Domain (dns .google .com in TLS SNI)

5

51.

2017398

ET INFO IP Check Domain (icanhazip. com in HTTP Host)

5

52.

2049202

ET INFO Observed File Hosting Service Domain (files .pythonhosted .org in TLS SNI)

5

53.

2043310

ET HUNTING DDoS-Guard Hosted Content

5

54.

28000002

(o)DoH Query for cloudflare-dns.com

4

55.

2050130

ET INFO Observed Online Application Hosting Domain (supabase .co in TLS SNI)

4

56.

2057036

ET EXPLOIT_KIT Balada Domain in TLS SNI (broworker10s .com)

4

57.

2021701

ET GAMES MINECRAFT Server response inbound

3

58.

1006260

VeePN

3

59.

2049251

ET INFO Observed FingerprintJS Domain (openfpcdn .io in TLS SNI)

3

60.

2063071

ET INFO Observed External IP Lookup Domain (l2 .io) in TLS SNI

3

61.

1803186

IP blocklist

3

62.

2047866

ET INFO Observed Google DNS over HTTPS Domain (dns .google in TLS SNI)

3

63.

36674245

HackTool.Nmap.TLS.C&C

3

64.

2023753

ET SCAN MS Terminal Server Traffic on Non-standard Port

3

65.

1801678

IP blocklist

3

66.

1802605

IP blocklist

3

67.

2400035

ET DROP Spamhaus DROP Listed Traffic Inbound group 36

3

68.

2039595

ET INFO External IP Address Lookup Domain (get .geojs .io) in TLS SNI

2

69.

1800324

IP blocklist

2

70.

1801470

IP blocklist

2

71.

1802765

IP blocklist

2

72.

2054227

ET TA_ABUSED_SERVICES Fingerprinting Service in TLS SNI (customfingerprints .bablosoft .com)

2

73.

2047894

ET INFO Observed Online Collab Tool Domain (figma .com in TLS SNI)

2

74.

1802434

IP blocklist

2

75.

2050282

ET INFO Observed External IP Lookup Domain (ip-info .ff .avast .com) in TLS SNI

2

76.

2400004

ET DROP Spamhaus DROP Listed Traffic Inbound group 5

2

77.

1800572

IP blocklist

2

78.

1800496

IP blocklist

2

79.

1802677

IP blocklist

2

80.

2400060

ET DROP Spamhaus DROP Listed Traffic Inbound group 61

2

81.

1800742

IP blocklist

2

82.

1801285

IP blocklist

2

83.

28000957

(o)DoH Query for httpdns-push.heytapmobile.com

2

55 млн. строк – это достаточно много (с одной стороны по продолжительности сбора данных о сетевом трафике, с другой стороны по требуемому объему оперативной памяти при дальнейшем обучении моделей) и для упрощения анализа при проведении исследования все множество векторов разбиваем на файлы по 10 млн строк.

Все 55 млн. строк сортируем по меткам времени появления вектора признаков, характеризующих сетевые соединения – это позволит ответить на вопрос: сколько времени требуется наблюдать за трафиком компании для обучения и получения качественной ML модели.

Распределение всех векторов по классам и по времени появления представлены ниже в таблице.

Название файла

Количество векторов признаков по метке класса

Период наблюдения

dataset_1.csv

Benign – 9996297
Attack – 3703

2025-06-26 23:47:43 (четверг)
2025-06-29 17:31:35 (воскресенье)

dataset_2.csv

Benign – 9979487
Attack – 20513

2025-06-29 17:31:35 (воскресенье)
2025-07-02 10:55:35 (среда)

dataset_3.csv

Benign – 9983212
Attack – 16788

2025-07-02 10:55:35 (среда)
2025-07-04 22:52:20 (пятница)

dataset_4.csv

Benign – 9999896
Attack – 104

2025-07-02 22:23:49 (пятница)
2025-07-06 02:05:00 (воскресенье)

dataset_5.csv

Benign – 9999893
Attack – 107

2025-07-06 02:05:00 (воскресенье)
2025-07-07 08:10:49 (понедельник)

dataset_6.csv

Benign – 5532721
Attack – 16250

2025-07-07 08:10:49 (понедельник)
2025-07-10 08:25:40 (четверг)

Ура! Датасет готов. Можно попробовать синтезировать ML модель.

Построение ML IDS

Для построения классификатора сетевого трафика была использована библиотека catboost. Количество признаков – 10, все признаки – числовые. Эксперименты проводились на ПЭВМ: Intel(R) Core(TM) i5-3570 CPU @ 3.40GHz, 32 Gb DDR3.

Настройки классификатора при обучении (данные значения настроек использовались во всех экспериментах: значения выбраны эвристически исходя из различных рекомендаций исследователей и разработчиков):

iterations = 1000, depth = 8,
CatBoostClassifier(iterations=iterations, verbose=250, depth=depth,
task_type="CPU", eval_metric='F1').

Важно помнить! Безусловно, надо подбирать рациональные значения всех гиперпараметров ML модели, но в данном исследовании этого не делалось, а упор сделан на все «подводные» камни процесса построения ML IDS в целом!

Эксперимент 1.

Обучили модель на файле dataset_1.csv (2,5 дня наблюдения за сетью, в том числе в рабочие дни: 18 % всех чистых векторов, 6,5% всех атак).

Эксперимент 1. Оценка качества классификатора сетевого трафика

Набор данных

Матрица ошибок

Показатели качества классификации

dataset_1.csv

clear as clear (TN-true negative): 9996239
clear as attack (FP-false positive): 58
attack as clear (FN-false negative): 1612
attack as attack (TP-true positive): 2091

accuracy = 0.9998
precision = 0.9730
recall = 0.5646
f1-score = 0.7146

dataset_2.csv

clear as clear (TN-true negative): 9974887
clear as attack (FP-false positive): 4600
attack as clear (FN-false negative): 16783
attack as attack (TP-true positive): 3730

accuracy = 0.9978
precision = 0.4477
recall = 0.1818
f1-score = 0.2586

dataset_3.csv

clear as clear (TN-true negative): 9980409
clear as attack (FP-false positive): 2803
attack as clear (FN-false negative): 12279
attack as attack (TP-true positive): 4509

accuracy = 0.9984
precision = 0.6166
recall = 0.2685
f1-score = 0.3742

dataset_4.csv

clear as clear (TN-true negative): 9999888
clear as attack (FP-false positive): 8
attack as clear (FN-false negative): 47
attack as attack (TP-true positive): 57

accuracy = 0.9999
precision = 0.8769
recall = 0.5480
f1-score = 0.6745

dataset_5.csv

clear as clear (TN-true negative): 9999889
clear as attack (FP-false positive): 4
attack as clear (FN-false negative): 40
attack as attack (TP-true positive): 67

accuracy = 0.9999
precision = 0.9436
recall = 0.6261
f1-score = 0.7528

dataset_6.csv

clear as clear (TN-true negative): 5530706
clear as attack (FP-false positive): 2015
attack as clear (FN-false negative): 8488
attack as attack (TP-true positive): 7762

accuracy = 0.9981
precision = 0.7939
recall = 0.4776
f1-score = 0.5964

Выводы по эксперименту: пока что, все плохо!

  1. Обучение произведено на файле dataset_1.csv и качество классификации на нем же плохое: слишком много «пропуска цели», а следовательно и значение recall тоже низкое. Т.е. выборки плохо разделимы с использованием выбранного математического аппарата, существующего признакового пространства и/или разметки датасета.

  2. На остальных файлах (участках времени) всё плохо не только с попуском цели, но и достаточно высокий уровень ложных срабатываний, что обычно говорит о том, что в обучающей выборке недостаточно «чистых» векторов, т.е. обучающая выборка не репрезентативна и надо добавить векторов со следующего временного участка. Однако в нашем случае, в явном виде такой вывод сделать нельзя, т.к. на dataset_4.csv и dataset_5.csv (выходные дни и совсем небольшое количество атак) качество классификации «чистого» трафика неплохое.

Что же делать дальше?

Высокий уровень пропуска цели и в целом невозможность разделения векторов на обучающей выборке, в совокупности с применением catboost (одна из лучших в мире реализаций RandomForest) говорит о том, что скорее всего разметка датасета неправильная и есть вектора имеющие одинаковые (или очень близкие) значения признаков, но разные метки классов. Все такие вектора для простоты обозначения будем по тексту публикации называть «плохими» векторами.

Тогда на следующем этапе исследования:

  • найдем все вектора, расстояние между которыми равны 0, но они относятся к разным классам (это однозначно неправильная разметка датасета);

  • найдем все вектора, расстояние между которыми имеют «очень маленькое» значение (данное значение было подобрано экспериментально);

  • проведем анализ: какие именно атаки (sid правил IDS Suricata) попали во множество «плохих»?

  • заменим метку класса найденных векторов на Benign.

Эксперимент 2.

Для поиска векторов имеющих одинаковые значения признаков, но разные метки классов, воспользуемся расчетом Евклидова расстояния между векторами (не забываем при этом нормализовать значения каждого признака). Поиск осуществляем только на файле dataset_1.csv (он у нас обучающий).

В результате поиска векторов с одинаковыми (или очень близкими) значениями признаков, но разными метками классов было найдено 24 sid (объединим их в логические группы и представим текстовое описание семантики решающего правила).

№п/п

Sid

Короткое описание (описание взято из решающего правила IDS Suricata) и краткое описание семантики решающего правила

1

1003187

"Anonymizer detected",
правило находит TLS соединения с заданным значением SNI

2

1006215, 1006217, 1006221

"HolaVPN detected",
правила находят TLS соединения с заданными значениями SNI (в одном из sid, есть небольшое контекстное уточнение)

3

1006554, 1006555, 1006556, 1800330, 1800496, 1800742, 1801285, 1801673, 1802363, 1802600, 1802677

"IP blocklist",
правила находят сетевые пакеты с заданными IP адресами

4

41560233, 65158634

"HackTool.Nmap.TCP.ServerRequest", правила находят сетевые пакеты с заданными флагами протокола TCP (таких признаков в нашем датасете нет!)

5

2035593

"ET INFO DropBox User Content Domain (dl.dropboxusercontent.com in TLS SNI)",
правило находит TLS соединения с заданным значением SNI

6

2047703

"ET INFO External IP Address Lookup Domain (ipify.org) in TLS SNI",
правило находит TLS соединения с заданным значением SNI

7

2400009,

2400035,

2400059,

2400060

"ET DROP Spamhaus DROP Listed Traffic Inbound group 10"
"ET DROP Spamhaus DROP Listed Traffic Inbound group 36"
"ET DROP Spamhaus DROP Listed Traffic Inbound group 60"
"ET DROP Spamhaus DROP Listed Traffic Inbound group 61",
правила находят сетевые пакеты с заданными IP адресами

8

2402000

"ET DROP Dshield Block Listed Source group 1",
правила находят сетевые пакеты с заданными IP адресами

Для практически всех вышеперечисленных компьютерных атак имелись полностью совпадающие вектора из множества «чистых» векторов (т.е. расстояние между ними было равно 0).

Исключения составили события с sid: 1006217, 2035593 и 2047703. Для этих событий минимальное расстояние между векторами было < 0.00005. Что это означает на практике хорошо видно на рисунке ниже (dist = 0.000001).

Пример "близких" векторов
Пример "близких" векторов

Т.е. небольшая разница была в значениях признаков, которые зависят от времени (задержек в сети, используемых сетевых технологиях и т.п.).

Дополнительным интересным результатом явилось еще и то, что некоторые атаки в принципе имеют практически 0 значения всех признаков (такое возможно при условии, что NGFW заблокировало соединение по первому пакету). Это означает, что для этих атак признаковое пространство необходимо изменять.

Так, например, атаки "HackTool.Nmap.TCP.ServerRequest" и "ET DROP Dshield Block Listed Source group 1" в заданном признаковом пространстве вообще не различимы (см. рисунок ниже). Имеются и другие примеры наблюдаемого явления.

Пример векторов, по которым становится понятным необходимости изменения признакового пространства
Пример векторов, по которым становится понятным необходимости изменения признакового пространства

Ниже представлены результаты модификации набора данных (путем изменения метки класса на Benign для всех векторов, имеющих «плохие» sid), повторного обучения ML модели и оценки качества классификации. Настройки процедуры обучения ML модели, выбранные значения гиперпараметров модели и используемый набор данных остаются как и в эксперименте 1.

После модификации набора данных векторов с меткой класса Benign – 55531544, векторов с меткой Attack – 17427 (было 57465).

Обучим заново ML IDS и оценим качество полученного классификатора.

Эксперимент 2. Оценка качества классификатора сетевого трафика

Набор данных

Матрица ошибок

Показатели качества классификации

dataset_1.csv

clear as clear (TN-true negative): 9998394
clear as attack (FP-false positive): 10
attack as clear (FN-false negative): 18
attack as attack (TP-true positive): 1578

accuracy = 0.9999
precision = 0.9937
recall = 0.9887
f1-score = 0.9912

dataset_2.csv

clear as clear (TN-true negative): 9996661
clear as attack (FP-false positive): 194
attack as clear (FN-false negative): 587
attack as attack (TP-true positive): 2558

accuracy = 0.9999
precision = 0.9295
recall = 0.8133
f1-score = 0.8675

dataset_3.csv

clear as clear (TN-true negative): 9995458
clear as attack (FP-false positive): 103
attack as clear (FN-false negative): 753
attack as attack (TP-true positive): 3686

accuracy = 0.9999
precision = 0.9728
recall = 0.8303
f1-score = 0.8959

dataset_4.csv

clear as clear (TN-true negative): 9999937
clear as attack (FP-false positive): 5
attack as clear (FN-false negative): 13
attack as attack (TP-true positive): 45

accuracy = 0.9999
precision = 0.9
recall = 0.7758
f1-score = 0.8333

dataset_5.csv

clear as clear (TN-true negative): 9999923
clear as attack (FP-false positive): 3
attack as clear (FN-false negative): 18
attack as attack (TP-true positive): 56

accuracy = 0.9999
precision = 0.9491
recall = 0.7567
f1-score = 0.8421

dataset_6.csv

clear as clear (TN-true negative): 5540606
clear as attack (FP-false positive): 250
attack as clear (FN-false negative): 1549
attack as attack (TP-true positive): 6566

accuracy = 0.9996
precision = 0.9633
recall = 0.8091
f1-score = 0.8795

Время обучения модели 19 мин 36 сек, время классификации 55 млн. векторов – 7 мин 21,4 сек.

Выводы по эксперименту

  1. Не смотря на улучшение качества классификации в целом, уровень «пропуска» цели и ложных срабатываний остается высоким.

  2. При этом, достаточно большое значение «FN-false negative» (и как следствие значение recall) на файлах dataset_2/3/4/5/6.csv показывает, что:

  • необходимо исследовать: появились ли новые зарегистрированные атаки на временных интервалах, следующих за обучающим интервалом (т.е. на dataset_2/3/4/5/6.csv)?;

  • объем обучающей выборки с атаками явно недостаточный и требуется переобучить модель с новыми данными.

Исследование состава зарегистрированных событий безопасности IDS Suricata на разных интервалах времени

Для того, чтобы понять какие события правильно классифицируются, а какие нет, была построена таблица, в ней указано, какие атаки встречались на каждом временном участке и сколько из этих атак было НЕ обнаружено (т.е. на примере самой первой строки sid = 2028762, в файле на котором обучались (dataset_1.csv) было таких событий 688 и все обнаружены, на dataset_2 было 1424 атаки из ни не обнаружено 5 и т.д.).

Обозначения. В таблицах ошибок ниже жирным шрифтом выделено плохое качество классификации векторов с признаками.
Для наглядности можно применить раскраску таблицы цветами (к сожалению, сайт не поддерживает раскраску таблиц), становится очень хорошо видно, что отдельные события безопасности хорошо распознаются, другие не в какую не хотят правильно классифицироваться, какие события были в процессе обучения представлены, а какие - нет:
– зеленый цвет – качество классификации приемлемое;
– красный цвет – качество плохое (надо обратить внимание на это решающее правило);
– желтый цвет (только в колонке dataset_1, т.е. на обучающем наборе данных) – sid не встречался в процессе обучения (решающее правило не срабатывало).

Эксперимент 2. Таблица ошибок "пропуск" цели

№ п/п

sid

Описание

dataset_1

dataset_2

dataset_3

dataset_4

dataset_5

dataset_6

1

2028762

ET JA3 Hash - [Abuse.ch] Possible Trickbot

688|0

1424|5

1954|10

0|0

0|0

3036|11

2

2060504

ET INFO Observed Discord Service Domain (gateway .discord .gg) in TLS SNI

135|0

534|10

853|7

0|0

0|0

3253|669

3

2050884

ET INFO Observed vk .com API Domain (api .vk .com in TLS SNI)

231|3

303|261

331|278

0|0

0|0

508|361

4

2053282

ET TA_ABUSED_SERVICES Commonly Actor Abused Online Service Domain (syncthing .net)

197|0

222|14

459|36

0|0

0|0

418|29

5

2014819

ET INFO Packed Executable Download

145|1

224|44

261|60

31|2

47|3

278|59

6

2033967

ET HUNTING Observed Telegram API Domain (api .telegram .org in TLS SNI)

92|0

172|26

220|39

24|8

12|2

208|37

7

2041933

ET INFO Observed Telegram Domain (t .me in TLS SNI)

25|2

55|46

53|48

0|0

0|0

54|40

8

2022082

ET INFO External IP Lookup ip-api.com

0|0

46|46

66|66

0|0

0|0

73|73

9

28000001

(o)DoH Query for dns.google

0|0

2|2

82|82

0|0

0|0

1|1

10

2035303

ET INFO Observed Chocolatey Windows Package Management Domain (chocolatey .org in TLS SNI)

19|0

18|0

27|1

0|0

0|0

5|0

11

2052581

ET INFO Observed Alibaba Cloud CDN Domain (aliyuncs .com in TLS SNI)

0|0

3|3

0|0

0|0

0|0

59|59

12

28000974

(o)DoH Query for httpdns-push.heytapmobile.com

0|0

0|0

0|0

0|0

0|0

61|61

13

2060505

ET INFO Observed Discord Service Domain (discord .com) in TLS SNI

0|0

13|13

21|21

0|0

0|0

24|24

14

2029634

ET HUNTING Suspected Malicious Telegram Communication (POST)

5|0

13|13

6|6

0|0

0|0

15|13

15

1006213

MultiProxy Firefox Add-ons

33|0

3|2

0|0

0|0

0|0

0|0

16

2062715

ET INFO Observed UA-CPU Header

2|1

7|7

12|12

0|0

7|7

8|8

17

2026521

ET USER_AGENTS Suspicious User-Agent (Windows 10)

0|0

26|26

6|6

0|0

0|0

0|0

18

1006319

PORT SCAN (NMAP -sA)

0|0

8|8

4|4

0|0

0|0

16|16

19

1006585

Outbound connection to a possible C&C server

0|0

4|4

1|1

0|0

0|0

22|22

20

2057746

ET INFO Observed Cloudflare Page Developer Domain (pages .dev in TLS SNI)

3|3

3|3

7|7

0|0

0|0

9|9

21

1006557

IP blocklist

2|2

4|4

5|5

1|1

2|2

7|7

22

2029322

ET HUNTING Telegram API Certificate Observed

3|0

3|1

2|1

1|1

2|1

3|1

23

58565362

Trojan-PSW.Agent.HTTP.C&C

0|0

8|8

5|5

0|0

0|0

1|1

24

2063118

ET INFO Abused Hosting Domain (azurewebsites .net) in TLS SNI

1|0

1|1

2|2

0|0

0|0

6|6

25

2027695

ET INFO Observed Cloudflare DNS over HTTPS Domain (cloudflare-dns .com in TLS SNI)

0|0

1|0

4|0

0|0

0|0

4|0

26

1800920

IP blocklist

0|0

0|0

9|9

0|0

0|0

0|0

27

2050633

ET INFO Observed File Hosting Service Domain (zohopublic .eu) in TLS SNI

8|0

0|0

0|0

0|0

0|0

0|0

28

28000196

(o)DoH Query for dns.google.com

1|1

3|3

4|4

0|0

0|0

0|0

29

28000040

(o)DoH Query for mozilla.cloudflare-dns.com

1|0

4|0

1|0

0|0

1|0

1|0

30

1006258

PlanetVPN

0|0

3|1

1|1

0|0

0|0

3|1

31

1801497

IP blocklist

0|0

3|3

2|2

0|0

1|1

0|0

32

2058779

ET INFO Observed Smart Chain Domain in TLS SNI (bsc-dataseed .binance .org)

0|0

2|2

4|4

0|0

0|0

0|0

33

2027762

ET REMOTE_ACCESS AnyDesk Remote Desktop Software User-Agent

0|0

0|0

2|2

0|0

0|0

4|4

34

2013927

ET INFO HTTP traffic on port 443 (HEAD)

0|0

2|2

2|2

0|0

0|0

1|1

35

2046071

ET INFO Observed Google DNS over HTTPS Domain (dns .google .com in TLS SNI)

0|0

2|2

1|1

0|0

0|0

2|2

36

2017398

ET INFO IP Check Domain (icanhazip. com in HTTP Host)

0|0

0|0

3|3

0|0

0|0

2|2

37

2049202

ET INFO Observed File Hosting Service Domain (files .pythonhosted .org in TLS SNI)

0|0

0|0

3|3

0|0

0|0

2|2

38

2043310

ET HUNTING DDoS-Guard Hosted Content

0|0

0|0

4|4

0|0

0|0

1|1

39

28000002

(o)DoH Query for cloudflare-dns.com

0|0

2|0

1|0

0|0

0|0

1|0

40

2050130

ET INFO Observed Online Application Hosting Domain (supabase .co in TLS SNI)

0|0

2|2

2|2

0|0

0|0

0|0

41

2057036

ET EXPLOIT_KIT Balada Domain in TLS SNI (broworker10s .com)

0|0

4|4

0|0

0|0

0|0

0|0

42

1801678

IP blocklist

1|1

1|1

0|0

0|0

0|0

1|1

43

1802605

IP blocklist

1|1

0|0

1|1

1|1

0|0

0|0

44

2021701

ET GAMES MINECRAFT Server response inbound

0|0

3|3

0|0

0|0

0|0

0|0

45

1006260

VeePN

0|0

3|3

0|0

0|0

0|0

0|0

46

2049251

ET INFO Observed FingerprintJS Domain (openfpcdn .io in TLS SNI)

0|0

2|2

1|1

0|0

0|0

0|0

47

2063071

ET INFO Observed External IP Lookup Domain (l2 .io) in TLS SNI

0|0

0|0

1|1

0|0

0|0

2|2

48

1803186

IP blocklist

0|0

0|0

1|1

0|0

0|0

2|2

49

2047866

ET INFO Observed Google DNS over HTTPS Domain (dns .google in TLS SNI)

0|0

0|0

3|3

0|0

0|0

0|0

50

36674245

HackTool.Nmap.TLS.C&C

0|0

0|0

0|0

0|0

0|0

3|3

51

2023753

ET SCAN MS Terminal Server Traffic on Non-standard Port

0|0

0|0

0|0

0|0

0|0

3|3

52

28000957

(o)DoH Query for httpdns-push.heytapmobile.com

2|2

0|0

0|0

0|0

0|0

0|0

53

1800572

IP blocklist

1|1

0|0

0|0

0|0

1|1

0|0

54

2039595

ET INFO External IP Address Lookup Domain (get .geojs .io) in TLS SNI

0|0

2|2

0|0

0|0

0|0

0|0

55

1800324

IP blocklist

0|0

1|1

0|0

0|0

0|0

1|1

56

1801470

IP blocklist

0|0

1|1

0|0

0|0

0|0

1|1

57

1802765

IP blocklist

0|0

1|1

0|0

0|0

0|0

1|1

58

2054227

ET TA_ABUSED_SERVICES Fingerprinting Service in TLS SNI (customfingerprints .bablosoft .com)

0|0

0|0

2|2

0|0

0|0

0|0

59

1802434

IP blocklist

0|0

0|0

0|0

0|0

0|0

2|2

60

2050282

ET INFO Observed External IP Lookup Domain (ip-info .ff .avast .com) in TLS SNI

0|0

0|0

0|0

0|0

0|0

2|2

61

2400004

ET DROP Spamhaus DROP Listed Traffic Inbound group 5

0|0

0|0

0|0

0|0

0|0

2|2

Выводы по исследованию состава зарегистрированных событий безопасности IDS Suricata на разных интервалах времени:

  • не все атаки хорошо распознаются на обучающем наборе данных, и необходимо провести анализ каким образом срабатывают такие правила (дальнейший анализ показал, что большинство из красных областей – это срабатывания решающих правил, основанных на адресной информации);

  • ряд атак на обучающем наборе данных классифицируются правильно с хорошим качеством, а на остальных участках времени – плохо. Для того, чтобы понять почему так бывает можно рассмотреть правило строка 5: sid = 2014819; краткое описание: «ET INFO Packed Executable Download», если посмотреть на него, то видно, что критерий принятия решения – это все файлы формата PE, причем откомпилирован не в Visual Studio и то с ограничениями. Очевидно, что ложных срабатываний в таком случае будет огромное количество, что и видно на практике;

  • плохая обобщающая способность. Библиотека catboost – это реализация RandomForest и это сказывается в случае, если ряд признаков (как в нашем случае) в датасете связаны с временем. На практике это означает, что ряд атак, в нашем случае – почти все, которые отсутствовали на обучающем наборе данных либо плохо (плохая обобщающая способность), либо вообще не распознаются и требуется переобучение модели, чтобы обучающая выборка была «репрезентативной» (строки 8, 9, 11, 13, 14 и многие другие).

Что же делать?

На следующем шаге исследования обратим внимание на правила из "красной" зоны и заново обучим модель на первом и втором временном интервале. Таким образом, с точки зрения практики, первого временного интервала для обучения не достаточно (выборка не репрезентативна, если посмотреть выше на таблицу, то первый временной интервал - это всего лишь один рабочий день - пятница и потом наступают выходные), увеличим временной интервал для сбора сетевого трафика.

Эксперимент 3.

Предварительная обработка данных: убрать все адресные решающие правила (т.е. правила, критерием срабатывания которых является обращение по конкретному ip адресу или диапазону адресов, или обращение к TLS серверам с конкретным SNI (или SNI префиксом).

Перечислим sid «плохих» для построения ML модели правил:

2060504,2050884,28000001,2041933,28000974,2052581,1006585,2060505,2057746,2053282,2033967,2063118,2046071,2049202,1006554,1006556,1006555,1006557,1800920,1802600,1801497,1803186,1801678,1802605,1800324,1801470,1802765,1802434,1800572,1800496,1802677,1800742,1801285,1801368,1802634,1801601,1800766,1801379,1802764,1800722,1802174,1802654,1800213,1803394,1803583,1801944,1801673,1802363,1800330,1006258,1006260,1006557,1800324,1800766,1801368,1801379,1801470,1801497,1801601,1801678,1802634,1802765,2029634,2033967,2050884,2062715 – это правила с адресной информацией.

После модификации набора данных векторов с меткой класса Benign – 55540391, векторов с меткой Attack – 8580 (первоначально было 57465).

При обучении объединим два временных диапазона dataset_1.csv и dataset_2.csv, т.е. обучение осуществлялось в течение 6 дней (включая трафик выходных дней).

Эксперимент 3. Оценка качества классификатора сетевого трафика.

Набор данных

Матрица ошибок

Показатели качества классификации

dataset_1.csv

clear as clear (TN-true negative): 9999094
clear as attack (FP-false positive): 6
attack as clear (FN-false negative): 13
attack as attack (TP-true positive): 887

accuracy = 0.9999
precision = 0.9932
recall = 0.9855
f1-score = 0.9894

dataset_2.csv

clear as clear (TN-true negative): 9998210
clear as attack (FP-false positive): 1
attack as clear (FN-false negative): 47
attack as attack (TP-true positive): 1742

accuracy = 0.9999
precision = 0.9994
recall = 0.9737
f1-score = 0.9864

dataset_3.csv

clear as clear (TN-true negative): 9997626
clear as attack (FP-false positive): 7
attack as clear (FN-false negative): 110
attack as attack (TP-true positive): 2257

accuracy = 0.9999
precision = 0.9969
recall = 0.9535
f1-score = 0.9747

dataset_4.csv

clear as clear (TN-true negative): 9999966
clear as attack (FP-false positive): 2
attack as clear (FN-false negative): 1
attack as attack (TP-true positive): 31

accuracy = 0.9999
precision = 0.9393
recall = 0.9687
f1-score = 0.9538

dataset_5.csv

clear as clear (TN-true negative): 9999949
clear as attack (FP-false positive): 1
attack as clear (FN-false negative): 4
attack as attack (TP-true positive): 46

accuracy = 0.9999
precision = 0.9787
recall = 0.92
f1-score = 0.9484

dataset_6.csv

clear as clear (TN-true negative): 5545503
clear as attack (FP-false positive): 26
attack as clear (FN-false negative): 92
attack as attack (TP-true positive): 3350

accuracy = 0.9999
precision = 0.9922
recall = 0.9732
f1-score = 0.9826

Время обучения модели 39 мин 49 сек, время классификации 55 млн. векторов – 8 мин 41,6 сек.

Эксперимент 3. Таблица ошибок "пропуска" цели

№ п/п

sid

Описание

dataset_1

dataset_2

dataset_3

dataset_4

dataset_5

dataset_6

1

2028762

ET JA3 Hash - [Abuse.ch] Possible Trickbot

688|0

1424|0

1954|9

0|0

0|0

3036|6

2

2014819

ET INFO Packed Executable Download

145|0

224|0

261|42

31|0

47|1

278|37

3

2022082

ET INFO External IP Lookup ip-api.com

0|0

46|0

66|5

0|0

0|0

73|0

4

2035303

ET INFO Observed Chocolatey Windows Package Management Domain (chocolatey .org in TLS SNI)

19|0

18|0

27|2

0|0

0|0

5|0

5

1006213

MultiProxy Firefox Add-ons

33|4

3|0

0|0

0|0

0|0

0|0

6

2026521

ET USER_AGENTS Suspicious User-Agent (Windows 10)

0|0

26|26

6|6

0|0

0|0

0|0

7

1006319

PORT SCAN (NMAP -sA)

0|0

8|0

4|3

0|0

0|0

16|16

8

2029322

ET HUNTING Telegram API Certificate Observed

3|0

3|1

2|1

1|1

2|2

3|3

9

58565362

Trojan-PSW.Agent.HTTP.C&C

0|0

8|0

5|0

0|0

0|0

1|0

10

2027695

ET INFO Observed Cloudflare DNS over HTTPS Domain (cloudflare-dns .com in TLS SNI)

0|0

1|1

4|4

0|0

0|0

4|4

11

2050633

ET INFO Observed File Hosting Service Domain (zohopublic .eu) in TLS SNI

8|5

0|0

0|0

0|0

0|0

0|0

12

28000196

(o)DoH Query for dns.google.com

1|1

3|3

4|4

0|0

0|0

0|0

13

28000040

(o)DoH Query for mozilla.cloudflare-dns.com

1|1

4|4

1|1

0|0

1|1

1|1

14

2058779

ET INFO Observed Smart Chain Domain in TLS SNI (bsc-dataseed .binance .org)

0|0

2|1

4|4

0|0

0|0

0|0

15

2027762

ET REMOTE_ACCESS AnyDesk Remote Desktop Software User-Agent

0|0

0|0

2|2

0|0

0|0

4|4

16

2017398

ET INFO IP Check Domain (icanhazip. com in HTTP Host)

0|0

0|0

3|3

0|0

0|0

2|2

17

2043310

ET HUNTING DDoS-Guard Hosted Content

0|0

0|0

4|4

0|0

0|0

1|1

18

28000002

(o)DoH Query for cloudflare-dns.com

0|0

2|2

1|1

0|0

0|0

1|1

19

2050130

ET INFO Observed Online Application Hosting Domain (supabase .co in TLS SNI)

0|0

2|2

2|2

0|0

0|0

0|0

20

2057036

ET EXPLOIT_KIT Balada Domain in TLS SNI (broworker10s .com)

0|0

4|4

0|0

0|0

0|0

0|0

21

2021701

ET GAMES MINECRAFT Server response inbound

0|0

3|0

0|0

0|0

0|0

0|0

22

2049251

ET INFO Observed FingerprintJS Domain (openfpcdn .io in TLS SNI)

0|0

2|1

1|1

0|0

0|0

0|0

23

2063071

ET INFO Observed External IP Lookup Domain (l2 .io) in TLS SNI

0|0

0|0

1|1

0|0

0|0

2|2

24

2047866

ET INFO Observed Google DNS over HTTPS Domain (dns .google in TLS SNI)

0|0

0|0

3|3

0|0

0|0

0|0

25

36674245

HackTool.Nmap.TLS.C&C

0|0

0|0

0|0

0|0

0|0

3|3

26

2023753

ET SCAN MS Terminal Server Traffic on Non-standard Port

0|0

0|0

0|0

0|0

0|0

3|3

27

28000957

(o)DoH Query for httpdns-push.heytapmobile.com

2|2

0|0

0|0

0|0

0|0

0|0

28

2039595

ET INFO External IP Address Lookup Domain (get .geojs .io) in TLS SNI

0|0

2|2

0|0

0|0

0|0

0|0

29

2054227

ET TA_ABUSED_SERVICES Fingerprinting Service in TLS SNI (customfingerprints .bablosoft .com)

0|0

0|0

2|2

0|0

0|0

0|0

30

2047894

ET INFO Observed Online Collab Tool Domain (figma .com in TLS SNI)

0|0

0|0

1|1

0|0

0|0

1|1

31

2050282

ET INFO Observed External IP Lookup Domain (ip-info .ff .avast .com) in TLS SNI

0|0

0|0

0|0

0|0

0|0

2|2

32

2400004

ET DROP Spamhaus DROP Listed Traffic Inbound group 5

0|0

0|0

0|0

0|0

0|0

2|2

33

2054246

ET ATTACK_RESPONSE Eval Hex Obfuscated JS Inbound

0|0

1|0

0|0

0|0

0|0

0|0

34

2038967

ET INFO SSH-2.0-Go version string Observed in Network Traffic

0|0

1|0

0|0

0|0

0|0

0|0

35

1006206

Browsec-VPN

0|0

0|0

1|1

0|0

0|0

0|0

36

2060251

ET INFO Go-http-client User-Agent Observed Outbound

0|0

0|0

1|1

0|0

0|0

0|0

37

2014788

ET DYN_DNS DYNAMIC_DNS HTTP Request to a 3322.net Domain *.3322.net

0|0

0|0

1|1

0|0

0|0

0|0

38

2017499

ET ATTACK_RESPONSE Probably Evil Long Unicode string only string and unescape 1

0|0

0|0

1|1

0|0

0|0

0|0

39

1006914

Possible trojan activity, base64-encoded content

0|0

0|0

1|1

0|0

0|0

0|0

40

1003302

Anonymizer detected

0|0

0|0

1|1

0|0

0|0

0|0

41

2018383

ET EXPLOIT Possible OpenSSL HeartBleed Large HeartBeat Response from Common SSL Port (Outbound from Client)

0|0

0|0

1|1

0|0

0|0

0|0

42

2012252

ET SHELLCODE Common 0a0a0a0a Heap Spray String

0|0

0|0

0|0

0|0

0|0

1|1

43

2048493

ET INFO ISO File Downloaded

0|0

0|0

0|0

0|0

0|0

1|1

44

2024833

ET INFO Observed IP Lookup Domain (l2 .io in TLS SNI)

0|0

0|0

0|0

0|0

0|0

1|1

Выводы по эксперименту:

качество модели стало лучше, но с датасетом надо еще работать. «Глазами» изучить с первого раза все 111 решающих правил IDS Suricata у автора не получилось и скорее всего адресные правила удалены были не все (т.к. «пропуск» цели достаточно большой на файлах dataset_3.csv и dataset_6.csv, а на файле dataset_2.csv много ошибок обучения).

Эксперимент 4.

Предварительная обработка данных такая же как и в предыдущем эксперименте – убрать все адресные решающие правила (т.е. правила, критерием срабатывания которых является обращение по конкретному ip адресу или диапазону адресов, или обращение к TLS серверам с конкретным SNI (или SNI префиксом).

Анализ перечисленных выше в эксперименте 3 ошибок «пропуска цели» выявили следующие категории «плохих» sid:

  • поиск SNI: 2058779, 2039595, 2054227, 2047894, 2050282, 2024833;

  • поиск SNI с опцией dotprefix: 2027695, 2050633, 2063071, 2047866;

  • поиск сертификата с конкретными данными: 2029322, 28000196, 28000040, 28000002, 28000957;

  • поиск конкретных IP адресов: 2400004;

  • анализ TCP Flags: 1006319.

Остальные решающие правила исключать нельзя – они опираются на поиск контекстный поиск внутри данных TCP соединения (анализ заголовков http, анализ содержимого передаваемых по протоколу http файлов и т.п.).

После модификации набора данных векторов с меткой класса Benign – 55540495, векторов с меткой Attack – 8476 (первоначально было 57465).

При обучении объединим два временных диапазона dataset_1.csv и dataset_2.csv, т.е. обучение осуществлялось в течение 6 дней (включая трафик выходных дней).

Эксперимент 4. Оценка качества классификатора сетевого трафика.

Набор данных

Матрица ошибок

Показатели качества классификации

dataset_1.csv

clear as clear (TN-true negative): 9999112
clear as attack (FP-false positive): 3
attack as clear (FN-false negative): 5
attack as attack (TP-true positive): 880

accuracy = 0.9999
precision = 0.9966
recall = 0.9943
f1-score = 0.9954

dataset_2.csv

clear as clear (TN-true negative): 9998235
clear as attack (FP-false positive): 1
attack as clear (FN-false negative): 34
attack as attack (TP-true positive): 1730

accuracy = 0.9999
precision = 0.9994
recall = 0.9807
f1-score = 0.9899

dataset_3.csv

clear as clear (TN-true negative): 9997651
clear as attack (FP-false positive): 9
attack as clear (FN-false negative): 83
attack as attack (TP-true positive): 2257

accuracy = 0.9999
precision = 0.9960
recall = 0.9645
f1-score = 0.98

dataset_4.csv

clear as clear (TN-true negative): 9999968
clear as attack (FP-false positive): 1
attack as clear (FN-false negative): 0
attack as attack (TP-true positive): 31

accuracy = 0.9999
precision = 0.9687
recall = 1.0
f1-score = 0.9841

dataset_5.csv

clear as clear (TN-true negative): 9999952
clear as attack (FP-false positive): 1
attack as clear (FN-false negative): 1
attack as attack (TP-true positive): 46

accuracy = 0.9999
precision = 0.9787
recall = 0.9787
f1-score = 0.9787

dataset_6.csv

clear as clear (TN-true negative): 5545538
clear as attack (FP-false positive): 24
attack as clear (FN-false negative): 56
attack as attack (TP-true positive): 3353

accuracy = 0.9999
precision = 0.9928
recall = 0.9835
f1-score = 0.9882

Время обучения модели 39 мин 58 сек, время классификации 55 млн. векторов – 7 мин 56 сек.

Эксперимент 4. Таблица ошибок «пропуска» цели.

№ п/п

sid

Описание

dataset_1

dataset_2

dataset_3

dataset_4

dataset_5

dataset_6

1

2028762

ET JA3 Hash - [Abuse.ch] Possible Trickbot

688|0

1424|0

1954|11

0|0

0|0

3036|8

2

2014819

ET INFO Packed Executable Download

145|0

224|0

261|37

31|0

47|1

278|30

3

2022082

ET INFO External IP Lookup ip-api.com

0|0

46|0

66|6

0|0

0|0

73|2

4

2035303

ET INFO Observed Chocolatey Windows Package Management Domain (chocolatey .org in TLS SNI)

19|0

18|0

27|2

0|0

0|0

5|0

5

1006213

MultiProxy Firefox Add-ons

33|5

3|1

0|0

0|0

0|0

0|0

6

2026521

ET USER_AGENTS Suspicious User-Agent (Windows 10)

0|0

26|26

6|6

0|0

0|0

0|0

7

58565362

Trojan-PSW.Agent.HTTP.C&C

0|0

8|0

5|0

0|0

0|0

1|0

8

2027762

ET REMOTE_ACCESS AnyDesk Remote Desktop Software User-Agent

0|0

0|0

2|2

0|0

0|0

4|4

9

2013927

ET INFO HTTP traffic on port 443 (HEAD)

0|0

2|0

2|2

0|0

0|0

1|1

10

2017398

ET INFO IP Check Domain (icanhazip. com in HTTP Host)

0|0

0|0

3|3

0|0

0|0

2|2

11

2043310

ET HUNTING DDoS-Guard Hosted Content

0|0

0|0

4|4

0|0

0|0

1|1

12

2050130

ET INFO Observed Online Application Hosting Domain (supabase .co in TLS SNI)

0|0

2|2

2|2

0|0

0|0

0|0

13

2057036

ET EXPLOIT_KIT Balada Domain in TLS SNI (broworker10s .com)

0|0

4|4

0|0

0|0

0|0

0|0

14

2021701

ET GAMES MINECRAFT Server response inbound

0|0

3|0

0|0

0|0

0|0

0|0

15

2049251

ET INFO Observed FingerprintJS Domain (openfpcdn .io in TLS SNI)

0|0

2|0

1|1

0|0

0|0

0|0

16

36674245

HackTool.Nmap.TLS.C&C

0|0

0|0

0|0

0|0

0|0

3|3

17

2023753

ET SCAN MS Terminal Server Traffic on Non-standard Port

0|0

0|0

0|0

0|0

0|0

3|3

18

2054246

ET ATTACK_RESPONSE Eval Hex Obfuscated JS Inbound

0|0

1|0

0|0

0|0

0|0

0|0

19

2038967

ET INFO SSH-2.0-Go version string Observed in Network Traffic

0|0

1|1

0|0

0|0

0|0

0|0

20

1006206

Browsec-VPN

0|0

0|0

1|1

0|0

0|0

0|0

21

2060251

ET INFO Go-http-client User-Agent Observed Outbound

0|0

0|0

1|1

0|0

0|0

0|0

22

2014788

ET DYN_DNS DYNAMIC_DNS HTTP Request to a 3322.net Domain *.3322.net

0|0

0|0

1|1

0|0

0|0

0|0

23

2017499

ET ATTACK_RESPONSE Probably Evil Long Unicode string only string and unescape 1

0|0

0|0

1|1

0|0

0|0

0|0

24

1006914

Possible trojan activity (base64-encoded content)

0|0

0|0

1|1

0|0

0|0

0|0

25

1003302

Anonymizer detected

0|0

0|0

1|1

0|0

0|0

0|0

26

2018383

ET EXPLOIT Possible OpenSSL HeartBleed Large HeartBeat Response from Common SSL Port (Outbound from Client)

0|0

0|0

1|1

0|0

0|0

0|0

27

2012252

ET SHELLCODE Common 0a0a0a0a Heap Spray String

0|0

0|0

0|0

0|0

0|0

1|1

28

2048493

ET INFO ISO File Downloaded

0|0

0|0

0|0

0|0

0|0

1|1

Выводы по эксперименту:

на третьем временном интервале появились новые события безопасности, на которых обучения ML IDS не проводилось и классификатор из не "видит". В качестве эксперимента попробуем переобучить систему и добавить ошибочные вектора из файла dataset_3.

Эксперимент 5.

Исходными данными для эксперимента возьмем датасеты эксперимента 4 + добавим только ошибочные вектора (вектора с "пропуском" цели) из файла dataset_3.

Эксперимент 5. Оценка качества классификатора сетевого трафика.

Набор данных

Матрица ошибок

Показатели качества классификации

dataset_1.csv

clear as clear (TN-true negative): 9999111
clear as attack (FP-false positive): 4
attack as clear (FN-false negative): 3
attack as attack (TP-true positive): 882

accuracy = 0.9999
precision = 0.9954
recall = 0.9966
f1-score = 0.9960

dataset_2.csv

clear as clear (TN-true negative): 9998235
clear as attack (FP-false positive): 1
attack as clear (FN-false negative): 32
attack as attack (TP-true positive): 1732

accuracy = 0.9999
precision = 0.9994
recall = 0.9818
f1-score = 0.9905

dataset_3.csv

clear as clear (TN-true negative): 9997641
clear as attack (FP-false positive): 19
attack as clear (FN-false negative): 24
attack as attack (TP-true positive): 2316

accuracy = 0.9999
precision = 0.9918
recall = 0.9897
f1-score = 0.9908

dataset_4.csv

clear as clear (TN-true negative): 9999967
clear as attack (FP-false positive): 2
attack as clear (FN-false negative): 0
attack as attack (TP-true positive): 31

accuracy = 0.9999
precision = 0.9393
recall = 1.0
f1-score = 0.9687

dataset_5.csv

clear as clear (TN-true negative): 9999951
clear as attack (FP-false positive): 2
attack as clear (FN-false negative): 0
attack as attack (TP-true positive): 47

accuracy = 0.9999
precision = 0.9591
recall = 1.0
f1-score = 0.9791

dataset_6.csv

clear as clear (TN-true negative): 5545527
clear as attack (FP-false positive): 35
attack as clear (FN-false negative): 45
attack as attack (TP-true positive): 3364

accuracy = 0.9999
precision = 0.9897
recall = 0.9867
f1-score = 0.9882

Время обучения модели 39 мин 38 сек, время классификации 55 млн. векторов – 8 мин 12 сек.

Эксперимент 5. Таблица ошибок «пропуска» цели.

№ п/п

sid

Описание

dataset_1

dataset_2

dataset_3

dataset_4

dataset_5

dataset_6

1

2028762

ET JA3 Hash - [Abuse.ch] Possible Trickbot

688|0

1424|0

1954|0

0|0

0|0

3036|2

2

2014819

ET INFO Packed Executable Download

145|0

224|1

261|5

31|0

47|0

278|29

3

2022082

ET INFO External IP Lookup ip-api.com

0|0

46|0

66|6

0|0

0|0

73|2

4

2035303

ET INFO Observed Chocolatey Windows Package Management Domain (chocolatey .org in TLS SNI)

19|0

18|0

27|1

0|0

0|0

5|0

5

1006213

MultiProxy Firefox Add-ons

33|3

3|0

0|0

0|0

0|0

0|0

6

2026521

ET USER_AGENTS Suspicious User-Agent (Windows 10)

0|0

26|26

6|6

0|0

0|0

0|0

7

58565362

Trojan-PSW.Agent.HTTP.C&C

0|0

8|0

5|0

0|0

0|0

1|0

8

2027762

ET REMOTE_ACCESS AnyDesk Remote Desktop Software User-Agent

0|0

0|0

2|1

0|0

0|0

4|2

9

2013927

ET INFO HTTP traffic on port 443 (HEAD)

0|0

2|0

2|0

0|0

0|0

1|0

10

2017398

ET INFO IP Check Domain (icanhazip. com in HTTP Host)

0|0

0|0

3|1

0|0

0|0

2|1

11

2043310

ET HUNTING DDoS-Guard Hosted Content

0|0

0|0

4|0

0|0

0|0

1|1

12

2050130

ET INFO Observed Online Application Hosting Domain (supabase .co in TLS SNI)

0|0

2|0

2|0

0|0

0|0

0|0

13

2057036

ET EXPLOIT_KIT Balada Domain in TLS SNI (broworker10s .com)

0|0

4|4

0|0

0|0

0|0

0|0

14

2021701

ET GAMES MINECRAFT Server response inbound

0|0

3|0

0|0

0|0

0|0

0|0

15

2049251

ET INFO Observed FingerprintJS Domain (openfpcdn .io in TLS SNI)

0|0

2|0

1|1

0|0

0|0

0|0

16

36674245

HackTool.Nmap.TLS.C&C

0|0

0|0

0|0

0|0

0|0

3|3

17

2023753

ET SCAN MS Terminal Server Traffic on Non-standard Port

0|0

0|0

0|0

0|0

0|0

3|3

18

2054246

ET ATTACK_RESPONSE Eval Hex Obfuscated JS Inbound

0|0

1|0

0|0

0|0

0|0

0|0

19

2038967

ET INFO SSH-2.0-Go version string Observed in Network Traffic

0|0

1|1

0|0

0|0

0|0

0|0

20

1006206

Browsec-VPN

0|0

0|0

1|1

0|0

0|0

0|0

21

2060251

ET INFO Go-http-client User-Agent Observed Outbound

0|0

0|0

1|0

0|0

0|0

0|0

22

2014788

ET DYN_DNS DYNAMIC_DNS HTTP Request to a 3322.net Domain *.3322.net

0|0

0|0

1|0

0|0

0|0

0|0

23

2017499

ET ATTACK_RESPONSE Probably Evil Long Unicode string only string and unescape 1

0|0

0|0

1|0

0|0

0|0

0|0

24

1006914

Possible trojan activity (base64-encoded content)

0|0

0|0

1|0

0|0

0|0

0|0

25

1003302

Anonymizer detected

0|0

0|0

1|1

0|0

0|0

0|0

26

2018383

ET EXPLOIT Possible OpenSSL HeartBleed Large HeartBeat Response from Common SSL Port (Outbound from Client)

0|0

0|0

1|1

0|0

0|0

0|0

27

2012252

ET SHELLCODE Common 0a0a0a0a Heap Spray String

0|0

0|0

0|0

0|0

0|0

1|1

28

2048493

ET INFO ISO File Downloaded

0|0

0|0

0|0

0|0

0|0

1|1

Выводы по эксперименту 5:

  • добавление в обучающую выборку новых векторов атак, которые ранее не встречались, может приводить к положительному результату (строки 10, 11, 21, 22, 23, 24) однако могут появляться дополнительные ложные срабатывания (для выяснения причин необходимо оценить близость новых векторов до «чистых»);

  • иногда добавление информации об атаках не приносит ни какого результата или качество распознавания этих атак не высокое (строки 8, 20, 25, 26);

  • интересная для анализа строка 2 (событие «ET INFO Packed Executable Download», суть данного правила раскрыта выше). Добавление новой информации о такой атаке с одной стороны позволяет уменьшить пропуск цели на обучающей выборке, а вот обобщающая способность совсем не высокая (ошибки в последнем столбце). При этом, скорее всего, такие правила добавляют ложные срабатывания;

  • как бы не проходило обучение, но есть атаки, которые все равно не распознаются (например, строки 6, 8). По идеи их необходимо убирать из датасета (устанавливать метку класса Benign).

Общие выводы по проведенному исследованию

  1. ML IDS уровня сети можно построить на уже эксплуатируемой сети связи, опираясь при этом на события безопасности, зарегистрированные с помощью IDS Suricata.

  2. Разметка датасетов с использованием данных срабатываний сигнатурных анализаторов (IDS Suricata / Snort и т.п.) имеет преимущество – тонкая настройка решающих правил сигнатурных анализаторов позволяет убрать большое количество «ложных» срабатываний, на которые операторы систем обнаружения вторжений не «обращают» внимание.

  3. Не все срабатывания IDS Suracata (sid зарегистрированных атак) можно использовать для разметки датасетов:
    – много решающих правил сигнатурных анализаторов опираются на поиск исключительно адресной информации: SNI TLS соединений, конкретные IP адреса, обращения к конкретным веб-страницам. Если при разметке датасета будут применены такие sid очень высокая вероятность появления дополнительных «ложных» срабатываний и «пропуска» цели ML IDS;
    – для качественного распознавания некоторых атак (sid) необходимо изменение признакового пространства (в проведенном выше исследовании, к таким атакам были отнесены различные способы сканирования портов).

  4. На этапе разметки датасета важно проводить оценку близости векторов признаков сетевых соединений, имеющих разные метки классов. Появление векторов с одинаковыми, или очень близкими значениями векторов признаков, но разными метками классов приводит к существенному ухудшению точности ML моделей. Одной из причин появления одинаковых значениями признаков в векторах, но разными метками классов является несовершенство самого признаковое пространства (т.е. требуется изменения признаков).

  5. Обучающая выборка должна была репрезентативной. ML модель возможно необходимо обучить заново в следующих ситуациях:
    – появление новых типов (sid) компьютерных атак;
    – модификация или удаление решающих правил сигнатурных анализаторов (раньше был sid и были вектора им соответствующие в датасете, теперь такие же вектора будут иметь другую метку класса);
    – изменение количества сотрудников в компании или изменение их трудовых функций (изменение сетевой нагрузки и как следствие влияние трафика пользователей на задержки, маршрутизацию / балансировку трафика в сети и т.п.);
    – изменение сетевого оборудования или набора локальных сетевых сервисов компании (изменение задержек в сети связи, маршрутизации / балансировки трафика в сети и т.п.).

  6. Для качественного обучения ML IDS, в нашем случае, требуется 1 недели наблюдения за сетевым трафиком компании (включая, выходные и рабочие дни).

  7. На этапе оценки качества обученной ML модели важно провести анализ ошибок классификации.
    Причины ошибок:
    – некачественные решающие правила сигнатурных анализаторов (IDS Suricata);
    – состязательные атаки на ML модель.

  8. Набор значимых признаков для распознавания разных типов компьютерных атак различный (очевидно, что для распознавания атак типа brute force и для распознавания сканирования портов признаки, отличающие их друг от друга, будут различные).

  9. При сопоставлении событий безопасности IDS Suricata с векторами, характеризующими соответствующие сетевые соединения (session_analyzer или аналогичные утилиты) необходимо учесть следующее:
    – метка времени срабатывания решающего правила IDS Suricata чаще всего не совпадает со временем начала сетевого соединения;
    – одному и тому же событию безопасности IDS Suricata может соответствовать 2 сетевых соединения – это зависит от точки наблюдения за трафиком (например, session_analyzer может наблюдать за трафиком как до, так и после шлюза). Подробнее можно посмотреть выше в подразделе «Особенности приема сетевого трафика».

  10. Качество ML IDS классификатора по метрики F1-меры при должной разметке датасета может достигать 0.98.

Недостатки проведенного исследования

  • Использование бинарной классификации при построении ML IDS, что в при практическом внедрении в существующие средства NGFW является на наш взгляд не приемлемым. Нельзя ответить на вопрос – какой класс атаки был зарегистрирован и как реагировать на такое событие?

  • При построении ML IDS защищаемым объектом была пользовательская сеть, а не конкретный ресурс, по этому на основании полученных результатов невозможно ответить на вопрос: какие классы атак на реальный объект защиты (например, web-сервер) возможно обнаруживать с помощью технологии ML IDS уровня сети.

В наших будущих публикациях постараемся ответить Вам, дорогие читатели, на эти вопросы. До скорой встречи!

Источник

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  • 28.05.26 21:56 Frankmilton

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  • 29.05.26 04:46 Frankmilton

    Losing any Scent on the dollar hurts like a bad stomach ache from eating from the wrong MaC.Donalds. This stablecoin stays near one dollar. Traders use it to swap for Bitcoin or Ethereum without big price jumps. New users pick it first for its ease. Banks hold cash reserves to back it up. Losses hit fast. A wrong wallet address sends coins to strangers. Scams on Telegram steal seed phrases. DeFi bugs or hacks drain funds. Billions vanish each year from these mistakes. Blockchains track every step. Copy your transaction hash. Check it on Etherscan. Follow the trail to the wallet or contract. [email protected] +(44 7476618364) can help. Her team hunts funds across chains. They work with exchanges and devs to get assets back. People recover thousands of assets already even after being lost for years of failed agency and fake recovery experts. also teaches safety. Spot phishing in MetaMask. Secure your Ledger. Trade safe on Binance or Uniswap. Fix rookie slips into smart habits

  • 31.05.26 10:06 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 31.05.26 10:06 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 05.06.26 18:26 edengarcia

    When most people hear the words crypto recovery service, their guard immediately goes up—and for good reason. In today’s online environment, finding a legitimate service feels like finding a needle in a haystack. Ask about trusted crypto recovery on any major forum, and you’ll be met with hostility. It’s become a cultural bias that victims often prefer filing police reports rather than seeking private help, fearing that speaking openly will only attract more scammers. But silence doesn’t bring your funds back. Website https://techyforcecyberretrieval.com Whatsapp +15617263697 The reality is harsh: Less than 10% of “recovery agencies” online are genuine. Fraudsters have mastered the art of mimicking trust. So, how do you separate the wolves from the professionals? The Golden Rule: No Upfront Fees If there is one sign that separates a scam from a legitimate operation, it is the payment model. Legitimate recovery companies never ask for upfront fees. Predatory scams will demand "processing fees," "software licenses," or "tax payments" before they lift a finger. A genuine agency knows its value lies in results, not promises. They operate on a success-based fee —typically around 10% of the recovered amount. Simply put: No recovery, no payment. Enter TechY Force Cyber Retrieval At TechY Force Cyber Retrieval, we understand why you’re skeptical. We built our model to eliminate that risk. We specialize in the fast, forensic tracking of lost crypto assets. Because we are confident in our technology and methodology, we don’t need your money to start working—we need your trust. We only get paid once you receive your crypto. How to Spot a Legitimate Partner Beyond the fee structure, keep these signs in mind: 1. Transparency: They explain how without asking for your private keys or seed phrase. 2. Realism: They don’t promise 100% success on impossible cases but offer honest assessments. 3. Speed: Time is critical in blockchain tracing. Legitimate firms act fast. Website https://techyforcecyberretrieval.com Whatsapp +15617263697 Don’t let the fear of secondary scams prevent you from seeking justice. Choose a partner who puts their money where their mouth is. TechY Force Cyber Retrieval: Fast. Secure. Success-based. Disclaimer: Always conduct your own due diligence. Legitimate firms will never ask for your wallet credentials.

  • 07.06.26 08:58 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.06.26 08:58 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.06.26 21:00 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:00 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:02 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:02 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:03 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 07.06.26 21:04 gordondowney9

    Email: [email protected] Telegram —digitallightsolution, https://t.me/digitallightsolution Losing my USDT to a fraudulent cryptocurrency platform was one of the most painful and overwhelming experiences I have ever faced. I felt devastated, confused, and ashamed that something I had placed my trust in had turned out to be a scam. For a while, I did not know where to turn or whether there was any real hope of recovering what I had lost. During that very difficult time, a trusted pastor recommended Digital-Light-Solution, and although I was hesitant at first, I decided to visit their website https://digitallightsolution.com/. From my first interaction with them, I felt a sense of relief. They listened to my situation with patience and understanding, and they treated me with kindness at a time when I felt completely broken. Their team explained the process clearly, answered my questions, and kept me informed throughout. What meant the most to me was not just their professionalism, but the way they made me feel supported when I was struggling emotionally. As the process continued, I began to regain a sense of hope. They remained consistent, responsive, and committed to my case, which gave me comfort during an incredibly stressful period. In the end, Digital-Light-Solutions was able to assist with tracing my lost USDT and supporting the recovery process. The relief my family and I felt is difficult to put into words. I will always be grateful for the support, compassion, and professionalism they showed me during one of the hardest moments of my life, I highly recommend their services to anyone in need. Contact them today for assistance

  • 10.06.26 06:21 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.06.26 06:21 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.06.26 18:09 david

    Look, engaging with the authorities is a marathon, not a sprint. By methodically filing these reports, you’re not just fighting for your own funds—you’re contributing to the broader battle against crypto crime. For a deeper dive into what to do after a theft, check out [email protected] for complete guide on how to recover stolen crypto

  • 12.06.26 17:13 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.06.26 17:13 keithwilson9899

    ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.06.26 14:53 Freeman James

    Recently, I was scammed out of $332,000 in a fraudulent Bitcoin investment scheme. This devastating loss added significant stress to my already difficult health challenges, as I was also facing surgery expenses for cancer. Desperate to recover my funds, I spent countless hours researching and speaking with other victims. That effort led me to a Google post that revealed the excellent reputation of FundsRetriever. Only after many hours of digging and consulting others did I learn about their stellar track record. I decided to contact them because of their successful recovery history and encouraging client testimonials. I had no idea that this decision would become the turning point in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost funds. The process was complex, but FundsRetriever's commitment to using the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance, contact: 📧 [email protected] 📞 WhatsApp: +1 603 512 144 8, Telegram: @FundsRetriever

  • 14.06.26 15:37 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 14.06.26 15:37 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 14.06.26 16:34 Emmi Hakola

    I’m open about my experience with Bitcoin investment and losing money to scammers. That said, it is possible to recover stolen Bitcoin. I used to think recovery was impossible because that’s what I had been told. But last October, I fell for a forex scam promising extremely high returns and ended up losing nearly $87,600. After searching for help for a month, I came across a Reddit article about recovering stolen cryptocurrency. I reached out to the contact provided: [email protected] and WhatsApp +19852969146. I was scared and skeptical, having heard many bad stories, but I decided to give them a try. To my amazement, I got all my stolen Bitcoin back within a very short time. I’m not sure if I’m allowed to post links here, but you can reach out to them if you also need help.

  • 14.06.26 16:53 James willson

    I lost $328,650 to a fraudulent website that claimed to be a legitimate investment platform offering high returns. I was drawn in by the desire to earn more for myself and my family. Unfortunately, by the end of 2024, I realized it was a scam when the broker stopped responding to my emails and messages. A colleague then introduced me to ResQPro Firm, and to my surprise, they were able to trace and recover my stolen funds. Contact them at: resqprofirm AT AOL dot com | WhatsApp: +1 985 296 9146 | Telegram: ResQproFirm

  • 14.06.26 19:38 riley777

    G`DAY, I lost more than 119,000 Australian dollars to a crypto scam and it took almost everything I had saved which left me feeling like I had no future. I was stuck. I did not know where to go or how to find the money again. The wallet company is no help at all and they make it so hard to see where the coins go once they leave your account so you just feel lost. I spent days looking for a way out. Then I saw a post for a person who finds stolen money. The ad said they can track any crypto that goes missing. I wanted to check if it was real. I sent an email to [email protected] +44//// 7476618364\ to see if they could help me get my funds back. They did an amazing job. My money was back in my account in less than a week after they did a fast search and return.

  • 15.06.26 06:12 Evan Garrison

    When investing in staking platforms, proceed with caution. If your funds are stolen by a fake staking pool, the experience can be very frustrating. Rather than giving in to frustration, it's important to act quickly to improve your chances of recovering your money. Unfortunately, many victims never get their money back because scammers are often in another country or using fake identities. However, in some cases, tracking the funds is easier, especially for smart contract forensics specialists. I lost €18,500 to StakeKing. FundsRetriever found a backdoor in the contract and recovered my stake. Contact [email protected], WhatsApp +1(603)5121(448), or Telegram FUNDSRETRIEVER for assistance.

  • 15.06.26 06:25 Glenn robble

    Stop putting money into platforms promising guaranteed monthly returns of 10%, 20%, or more. These are Ponzi schemes. Your "profits" are just other victims' deposits. The moment withdrawals slow down, the scam is about to collapse. If you already have money trapped, do not send more to "unlock" your funds. That is a second scam. Instead, gather all transaction hashes and wallet addresses. Bitcoin Evolution Pro took €25,000 from me. FundsRetriever traced the funds through KYC exchanges and recovered my principal. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 06:34 Sallymarch

    If IQ Option or any similar platform blocks your withdrawal citing "bonus terms" or "abnormal activity," do not argue with their chat support. They are not empowered to help you. Instead, request all trade logs and bonus terms in writing. Then get FundsRetrievers forensic specialist to audit your account. IQ Option held my €9,200 for two months. FundsRetriever reviewed my case, identified regulatory violations, and secured my full payout within 72 hours. Professional pressure works. Do it immediately. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 06:38 Sallymarch

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  • 15.06.26 06:41 Ewaguz

    Cloud mining contracts are almost always too good to be true. I learned that the hard way with MineMax. First two months, small daily payouts. Then "maintenance fees" ate everything. Then my account was frozen. Then the website disappeared. I was heartbroken. FundsRetriever traced my payments through three shell companies to a real bank account. They froze it and got my €11,000 back. Recovery is possible even from complex scams. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 12:49 Jason

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  • 15.06.26 12:56 Hillary

    As a blockchain forensic analyst, I’ve reviewed numerous recovery cases. Fundsretriever demonstrates proper on-chain tracing, evidence preservation, and legal coordination. Their methodology helped several of my clients retrieve stolen or stuck assets. Recommended for victims seeking verifiable solutions. 📧 [email protected] Telegram @FUNDSRETRIEVER WhatsApp +1 603 512 1448

  • 15.06.26 13:03 Feliksa Stegniy

    A woman added me on Facebook, and after she suggested we become friends, we started communicating. Over time, she introduced me to a crypto trading platform called btctradingfx.com. She shared a lot of information about it, along with screenshots that made the platform seem trustworthy. Convinced by her claims, I decided to give it a try. I was promised a 10% weekly return, so I made an initial investment of $500. To my surprise, I received $5,000 back. That success encouraged me to invest more, so I put in $20,000. But when I tried to withdraw my funds, I was denied access and told I needed to deposit even more money before I could make a withdrawal. In the end, I lost a total of $43,850. It was an extremely difficult and painful experience. Fortunately, I later found a professional recovery service called ResQprofirm while searching on Google. I contacted them and provided all the evidence I had. They took my case seriously and were able to track down and recover my capital from the platform, which had been inaccessible for a long time. If you find yourself in a similar situation, you might consider reaching out to them via email at [email protected] or on WhatsApp at +19852969146, Telegram @resqprofirm Thank you, ResQPro, for your support.

  • 15.06.26 13:05 James willson

    The Most Credible Crypto Recovery Service: RESQPROFIRM RESQPROFIRM is a reliable, legitimate company that helps recover lost cryptocurrency assets. After weeks of doubting whether my lost BTC could ever be restored, I realized how widespread crypto scams have become. Caution is essential when dealing with strangers online, especially about money. While recovering stolen crypto is possible, avoiding fake "recovery companies" is just as important. Real hackers work discreetly and don't advertise openly. I was scammed multiple times while desperately seeking help. Finally, a friend introduced me to RESQPROFIRM—a trustworthy, discreet team. They handle everything from website security to crypto asset recovery. With their help, I recovered $320,000 in USDT within a week. Their professionalism, discretion, and speed were outstanding. If you've been compromised, don't lose hope—but beware of fraudsters posing as saviors. RESQPROFIRM are true professionals. I'm living proof. Contact them at [email protected], WhatsApp +19852969146, or Telegram @resqprofirm.

  • 15.06.26 13:06 Tansy

    Lost $18,500 to a fake Elon Musk crypto giveaway. Sent ETH, got nothing. Recovery pages demanded more gas fees. I stopped believing. FuNds rEtRiEveR on Te.le_gram was the real one. Email: [email protected] – WhatsApp: +1 603 512 1448

  • 15.06.26 13:08 Sarahy billy

    A REAL EXPERIENCE, EVERYONE ... PLEASE BE CAREFUL ONLINE A few weeks ago, I lost around $64,000 to a fake crypto trading platform. I was drawn in by the promise of earning 15% profit daily. It was a devastating time—I struggled to pay my bills and was financially ruined. I eventually opened up to a close friend, who recommended a crypto recovery team with highly effective methods. I contacted them, and they successfully recovered all my stolen digital assets with ease. Their service was excellent, and they acted quickly—within just 5 working days, they tracked down the scammers and returned my funds. I strongly urge anyone facing investment theft or similar issues to reach out to this team for the right solution and avoid losing large sums to fraudsters... Email: Resqprofirm @aol.com WhatsApp: +19852969146, telegram @resqprofirm

  • 15.06.26 13:12 Cole donald

    "I strongly recommend RESQPRO FIRM to anyone trying to recover lost cryptocurrency assets, including Bitcoin, USDC, USDT, Ethereum, and Trump Coin. Like many others, I was shocked to learn that crypto holdings can be stolen even when private keys are carefully protected. After a sophisticated hack wiped out my entire portfolio, I felt completely helpless. Fortunately, I was referred to RESQPRO FIRM. Their team understood the complexity of my situation and successfully recovered my funds. They were responsive, communicated clearly, and followed a careful, step-by-step process—which gave me a lot of reassurance during a stressful time. If you've experienced a similar financial loss, I encourage you to reach out to them. Their professionalism and ethical hacking skills exceeded my expectations." Contact Info: · WhatsApp: +1 (985) 2969146 · Email: [email protected] · Telegram: Resqprofirm

  • 15.06.26 13:16 Meral Yetkiner

    I recently lost $38,000 to an online platform. Initially, they requested additional deposits to grant me access to my portfolio. Despite complying, my withdrawal requests were repeatedly denied, and they continued asking for more funds. Suspecting fraudulent activity, I ceased further payments and promptly reported the matter to ResQProfirm, a firm I discovered through Google. They listened to my situation, initiated communication regarding the sequence of events, and requested all relevant evidence to support their investigation. Through their dedicated efforts, they successfully traced and recovered my funds. I extend my thanks to ResQProfirm at [email protected] and via WhatsApp at +19852969146. I urge everyone to exercise caution and thoroughly research any platform before investing.

  • 15.06.26 13:18 Silas Olsen

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected]. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 15.06.26 13:59 Ewaguz

    If a binary options broker refuses your withdrawal, do not pay any "verification fees" or "tax fees." These are lies designed to extract more money. Stop communicating with their support team – they are trained to stall. Instead, immediately document every transaction, screenshot your account balance, and contact a professional recovery specialist. BinaryBook stole €14,500 from me before I learned this. FundsRetriever traced the deposits and recovered everything within two weeks. Do not wait. Do not pay more fees. Act now. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:16 Martina k.

    Stop putting money into platforms promising guaranteed monthly returns of 10%, 20%, or more. These are Ponzi schemes. Your "profits" are just other victims' deposits. The moment withdrawals slow down, the scam is about to collapse. If you already have money trapped, do not send more to "unlock" your funds. That is a second scam. Instead, gather all transaction hashes and wallet addresses. Bitcoin Evolution Pro took €25,000 from me. FundsRetriever traced the funds through KYC exchanges and recovered my principal. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:18 Garrison Good

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  • 15.06.26 14:22 Sallymarch

    Never grant API keys with withdrawal permissions to any third-party software. This is how crypto arbitrage bots steal your funds. If you have already done this, revoke all API keys immediately. Then check your exchange transaction history. CryptoArb AI drained €7,800 from my account within hours. FundsRetriever reverse-engineered the bot's code, traced the scammer's wallet, and recovered everything. Always use "read-only" API permissions only. If you made the mistake, act fast. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:23 Glennrobble

    If a binary options broker closes your account and confiscates your profits, do not accept their explanation. Demand a full audit of your trade history. Most brokers cannot justify their actions when challenged by professionals. ExpertOption stole €6,200 from me claiming "abnormal activity." FundsRetriever audited my trades, proved they were legitimate, and threatened legal action. The broker paid within 10 days. Do not let them intimidate you. Get professional help. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:25 Evan Garrison

    Cloud mining contracts are almost always too good to be true. I learned that the hard way with MineMax. First two months, small daily payouts. Then "maintenance fees" ate everything. Then my account was frozen. Then the website disappeared. I was heartbroken. FundsRetriever traced my payments through three shell companies to a real bank account. They froze it and got my €11,000 back. Recovery is possible even from complex scams. Contact [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 14:26 Ewaguz

    That 100% deposit bonus looks tempting, doesn't it? I took it. Big mistake. When I tried to withdraw my €4,500, Olymp Trade demanded I trade 50 times the bonus amount. Impossible by design. My money was trapped. FundsRetriever reviewed the terms and found they violated consumer protection laws in my country. They negotiated directly with Olymp Trade's legal team. Within a week, my funds were released. My advice? Never accept bonuses. But if you're already trapped, call [email protected], WhatsApp +1(603)5121(448) or Telegram FUNDSRETRIEVER.

  • 15.06.26 16:34 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.06.26 16:34 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.06.26 16:41 Louane Mercier

    It is crucial to act quickly and consult a reputable, experienced recovery specialist who will support you throughout the entire recovery process. You must provide them with transaction evidence, scammer information, and any other relevant details that could aid the investigation. With this data, the experts can trace and attempt to recover your funds from the scammers' concealed accounts or wallets. R£sQprofirm company offers recovery assistance with no upfront fees. Contact them via Telegram (@ResQprofirm), WhatsApp (+19852969146), or email ([email protected]).

  • 15.06.26 16:45 Andrés Montero

    I’m open about my experience with Bitcoin investment and losing money to scammers. That said, it is possible to recover stolen Bitcoin. I used to think recovery was impossible because that’s what I had been told. But last October, I fell for a forex scam promising extremely high returns and ended up losing nearly $87,600. After searching for help for a month, I came across a Reddit article about recovering stolen cryptocurrency. I reached out to the contact provided: [email protected] and WhatsApp +19852969146. I was scared and skeptical, having heard many bad stories, but I decided to give them a try. To my amazement, I got all my stolen Bitcoin back within a very short time. I’m not sure if I’m allowed to post links here, but you can reach out to them if you also need help.

  • 15.06.26 16:48 Olivia Sørensen

    Several months ago, investing in Bitcoin proved to be one of my most lucrative endeavors. I achieved considerable profits across multiple platforms and felt a strong sense of accomplishment. Unfortunately, the situation deteriorated when I inadvertently engaged with a fraudulent Bitcoin platform. This entity swindled me out of $92,000 USD, refused to honor my withdrawal requests, and persistently demanded further deposits. Fortunately, I encountered (R£SQPRO FIRM) online. After reporting my case to them, they acted promptly and effectively recovered my lost Bitcoin. I am sincerely grateful for their professionalism and continuous assistance. Contact: ResQprofirm AT aol.com, Telegram @resqprofirm, WhatsApp +1 9 8 5 2 9 6 9 1 4 6.

  • 15.06.26 16:51 Viljar Yohannes

    I'm willing to share my experience with Bitcoin investment and losing money to scammers. But yes, recovering stolen Bitcoin is possible. I never believed in Bitcoin recovery myself, because I was told it couldn't be done. Then, last October, I fell for a forex scam that promised unrealistically high returns, and I ended up losing nearly $70,000. I searched for help for about a month until I finally found a Reddit article about recovering stolen cryptocurrency. I reached out to the contact mentioned: [RESQPROFIRM [at] AOL DOT com] and [WhatsApp +19852969146]. I was scared and skeptical because I'd heard horror stories, but I decided to give them a try. To my surprise, I got all my stolen Bitcoin back from the scammers in a very short time. I'm not sure if I'm allowed to post links here, but you can contact them if you need help too.

  • 15.06.26 16:58 Guimar da Rosa

    Withdrawal troubles shouldn’t stress you out. I faced a similar problem, and this firm stepped in and recovered my funds. Their support truly mattered. Contact them: [ResQProFirm @aol.com] telegram @resqprofirm, WhatsApp: <+198> <5296> <9146>.

  • 15.06.26 17:03 Andrea Escalante

    If withdrawals keep getting denied, stay calm. I went through the same, and this firm helped me recover everything. Their assistance was outstanding. Contact: [[email protected]], Telegram: ResQprofirm, WhatsApp: <+198> <5296> <9146>. Withdrawal troubles shouldn’t

  • 16.06.26 11:40 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 11:43 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.06.26 13:37 Felix Steve

    MY CRYPTO WAS STOLEN – HERE'S HOW I GOT IT BACK I'm Felix Steve from Canada, and I lost $115,000 USDC to a fraudulent broker who locked me out of my wallet. After sleepless nights, a friend told me about RESQPROFIRM Recovery Service. I sent them my wallet addresses, transaction history, and chat logs. Their team used blockchain tracking to trace the stolen funds, identified the scammer's wallet, and froze the assets before they could be moved. Within 24 hours, most of my crypto was recovered. I can't thank them enough. If you need help, reach out via WhatsApp: +19852969146, email: [email protected], or TG: @resqprofirm.

  • 16.06.26 13:45 Wills ben

    SUCCESSFUL CRYPTO SCAM RECOVERY – HOW I REGAINED ACCESS TO MY LOST WALLET My name is Felix Steve, and I'm from Canada. I'm sharing my story to help others who have fallen victim to crypto fraud. A few months ago, I was lured into a fake investment scheme promoted by a broker company. With Bitcoin prices climbing, I invested heavily—only to lose $115,000 USDC when the broker locked me out of my wallet and assets. It was a harrowing experience that left me sleepless and desperate. Crypto scams are on the rise, often involving bogus trading platforms, phishing, and misleading promises. In my search for help, a fellow crypto enthusiast recommended RESQPROFIRM Recovery Service, which specializes in recovering lost or stolen funds. After checking their reviews, I reached out and supplied all the evidence—wallet addresses, transaction records, and communication logs. Their team responded immediately and launched an investigation. Using advanced blockchain tracking, they traced the stolen funds, pinpointed the scammer's wallet, and worked with authorities to freeze the assets in time. Remarkably, within just 24 hours, RESQPROFIRM recovered the bulk of my stolen crypto. I was overwhelmed with relief and gratitude. Their professionalism, transparency, and steady communication made all the difference during a very dark period. If you've been scammed, I wholeheartedly recommend contacting them via WhatsApp: +19852969146, email: [email protected], or Telegram: @resqprofirm.

  • 18.06.26 13:31 Noemi Bernard

    I never expected such outstanding results. The outcome far exceeded my expectations, and I am extremely satisfied with the successful recovery of my stolen funds totaling $49,360 from my blockchain wallet. I hold this team in the highest regard. Without a doubt, they are among the most dedicated professionals in the field of fund recovery. Keep up the exceptional work! Email: [email protected] WhatsApp: +1 985 296 9146

  • 18.06.26 13:35 Carter Morris

    My experience improved significantly thanks to ResQprofirm's expert assistance and attentive customer care. Their professionalism was evident every step of the way they were able to track and recover my stolen crypto $88,360, email: [email protected], WhatsApp +19852969146.

  • 18.06.26 13:40 Kuybida Andriyiv

    I recovered my $232,000 refund through the assistance of [email protected] and WhatsApp +19852969146. Their guidance was very helpful.

  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 20.06.26 14:57 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 21.06.26 11:09 Maurizio Rolland

    I would like to express my sincere appreciation to RESQPRO FIRM for their outstanding assistance in helping victims of online fraud. Many scammers deceive investors by blocking withdrawals and continuously demanding additional deposits, making the loss of hard-earned funds a painful experience. Fortunately, RESQPRO FIRM provides support to individuals seeking to recover funds lost to fraudulent online schemes. Contact: Email: RESQPRO FIRM at Gmail Telegram: RESQPROFIRM, [email protected], WhatsApp: +1 985 296 9146

  • 21.06.26 11:13 Buse Fahri

    It is important for more people to stand together in the fight against online fraud. Those who target innocent individuals especially vulnerable people such as seniors should be held fully accountable for their actions. Every effort to raise awareness and support victims makes a meaningful difference. The team at RESQPRO FIRM is committed to helping expose fraudulent schemes and assisting those affected by online scams. Their dedication, persistence, and passion for protecting victims are truly commendable. I sincerely appreciate the hard work and commitment shown toward this mission. Together, we can continue to educate others, support victims, and work toward a safer online environment for everyone. Contact Information: Telegram: RESQPROFIRM WhatsApp: +1 985 296 9146 Email: [email protected], [email protected]

  • 21.06.26 11:16 علیرضا گلشن

    The successful recovery of my stolen funds, totaling $1,310,000, would not have been possible without your unwavering support, dedication, and tireless efforts. I am truly grateful for the opportunity to work with such a skilled and professional team. From the very beginning, I had confidence in your ability to handle this challenging situation, and you exceeded my expectations by delivering remarkable results. Your expertise, persistence, and commitment throughout the process were exceptional. I encourage you to continue maintaining the high standards of professionalism and excellence that distinguish your work. You exemplify the qualities of a trustworthy, dedicated, and hardworking professional, and your efforts deserve sincere recognition and appreciation. Contact: Email: [email protected], [email protected], Telegram: Resqprofirm WhatsApp: +1 985 296 9146

  • 22.06.26 21:51 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 22.06.26 21:51 kimberlyhebert786

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 24.06.26 01:25 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +1603512144 8| Telegram: @Fundsretriever

  • 24.06.26 01:27 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever

  • 24.06.26 01:28 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever.

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 14:16 Universina da Mota

    Becoming a victim of an investment scam is never anyone's intention it often happens because fraudsters exploit trust and a lack of awareness. I would like to express my sincere gratitude to the dedicated team at ResQpro for their professionalism and commitment to helping victims of online investment fraud. Their efforts in assisting individuals with the recovery of stolen assets and holding scammers accountable are truly commendable. If you need assistance or would like to learn more, you can contact them through: Email: [email protected] Alternative Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 14:21 Elizabeth Thompson

    If you believe you have been the victim of an investment scam, it is important to act promptly and gather all relevant information. Keep records of transaction receipts, wallet addresses, communication logs, account details, and any other evidence related to the incident. Providing accurate documentation can help investigators, financial institutions, legal professionals, or recovery specialists review your case and determine what options may be available. Be cautious of anyone who guarantees the recovery of lost funds or requests large upfront payments. For additional information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 15:33 Júlia Castro

    If you have fallen victim to an investment scam, it is important to act quickly and gather all available evidence related to the incident. This may include transaction records, wallet addresses, screenshots of conversations, emails, account details, and any information connected to the individuals or entities involved. Having complete documentation can help professionals assess your situation and explore possible recovery options. Always exercise caution when seeking assistance and carefully verify the credentials of any service provider before proceeding. For further information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 25.06.26 21:13 Emilie Safi

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected], [email protected], WhatsApp +19852969146, telegram @resqprofirm. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 25.06.26 21:25 Emilie Safi

    So I ended up losing $38,000 to this platform. At first, they kept asking me to put in more money so I could get into my portfolio. I did that, but then they wouldn’t let me withdraw anything—just kept asking for more deposits. It got way too suspicious, so I stopped. I found this company called ResQProfirm on Google and told them what happened. They got in touch, asked me to walk them through everything, and I gave them all the proof I had. They did an amazing job tracking down my money and getting it back. Big thanks to them at [email protected] and on WhatsApp at +19852969146. Please be careful out there and always research before investing.

  • 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 02:48 Miriam Rocha

    I trusted this platform with $120,000 of my hard-earned money. Then they started asking for more deposits just so I could access my own portfolio. I paid, but every withdrawal request was denied. They kept pushing for more money. I finally stopped it just felt wrong. Desperate, I found ResQProfirm on Google. They didn't just hear me out; they truly listened. I shared all my proof, and they launched an investigation. Thanks to their hard work, they tracked and returned my funds. From the bottom of my heart, thank you to [email protected] and their WhatsApp +19852969146. Please stay safe and always verify a platform before investing

  • 02:52 Miško Bakić

    I got my $232,000 refund thanks to [email protected] and WhatsApp +19852969146. Highly recommended for anyone in a similar situation.

  • 02:56 Asunción Herrera

    A recovery of $48,330 was facilitated by [email protected]. Individuals who have experienced financial fraud may consider contacting this service.

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