binarysniffer 1.11.3

A high-performance CLI and library for detecting open source components in binaries through semantic signature matching

BinarySniffer - Binary Component Detection and Security Analysis

A high-performance CLI tool and Python library for detecting open source components and security threats in binaries through semantic signature matching. Specialized for analyzing mobile apps (APK/IPA), Java archives, ML models, and source code to identify OSS components, their licenses, and potential security risks.

Features

• Binary Component Detection: Identify 188+ OSS components in compiled binaries using semantic signatures
• ML Model Security Analysis: Comprehensive security scanning with MITRE ATT&CK mapping
• Multi-Format Support: APK/IPA, JAR/WAR, ELF/PE/Mach-O, ML models (pickle, ONNX, SafeTensors)
• SEMCL.ONE Integration: Works seamlessly with osslili, purl2notices, and other ecosystem tools

Installation

pip install binarysniffer

For development:

git clone https://github.com/SemClone/binarysniffer.git
cd binarysniffer
pip install -e .

With performance extras:

pip install binarysniffer[fast]

Quick Start

# Analyze a binary file
binarysniffer analyze /path/to/binary

# ML model security scan
binarysniffer ml-scan model.pkl --deep

# Generate SBOM
binarysniffer analyze app.apk --format cyclonedx -o sbom.json

Usage

CLI Usage

# Basic analysis
binarysniffer analyze app.apk

# ML model security analysis
binarysniffer ml-scan model.pkl --risk-threshold 0.5

# Directory scanning with recursion
binarysniffer analyze /path/to/project -r

# Generate CycloneDX SBOM
binarysniffer analyze app.jar --format sbom -o app-sbom.json

# Extract package inventory
binarysniffer inventory app.apk --with-hashes -o inventory.json

Python API

from binarysniffer import EnhancedBinarySniffer

# Initialize analyzer
sniffer = EnhancedBinarySniffer()

# Analyze a file
result = sniffer.analyze_file("app.apk")
for match in result.matches:
    print(f"{match.component} - {match.confidence:.2%}")
    print(f"License: {match.license}")

# ML security analysis
from binarysniffer.ml_security import MLSecurityAnalyzer

analyzer = MLSecurityAnalyzer()
risks = analyzer.analyze_model("model.pkl")

Core Capabilities

Binary Analysis

• Advanced format support (ELF, PE, Mach-O) via LIEF
• Android DEX bytecode analysis
• Static library (.a) support
• Symbol and import extraction

Archive Support

• Mobile apps (APK, IPA)
• Java archives (JAR, WAR)
• Python packages (wheel, egg)
• Linux packages (DEB, RPM)
• Extended formats (7z, RAR, Zstandard)

ML Model Security (v1.10.0+)

• Safe pickle file analysis
• ONNX and SafeTensors validation
• PyTorch/TensorFlow native formats
• 100% detection rate on known exploits
• SARIF output for CI/CD integration

Signature Database

• 188 OSS components covered
• 1,400+ high-quality signatures
• Automatic license detection
• Security severity classification

Integration with SEMCL.ONE

BinarySniffer is a core component of the SEMCL.ONE ecosystem:

• Complements osslili for source code license detection
• Works with purl2notices for comprehensive attribution
• Integrates with ospac for policy evaluation
• Supports upmex for package metadata extraction

Configuration

# ~/.binarysniffer/config.json
{
  "signature_sources": [
    "https://signatures.binarysniffer.io/core.xmdb"
  ],
  "min_confidence": 0.5,
  "parallel_workers": 4,
  "auto_update": true
}

Documentation

• User Guide - Comprehensive usage examples
• API Reference - Python API documentation
• ML Security - ML model security analysis
• Signature Management - Creating and managing signatures
• Architecture - System design and internals

Advanced Topics

• TLSH Fuzzy Matching - Detecting modified components
• Creating Signatures - Contributing new signatures
• Installation Guide - Platform-specific setup
• Package Verification - Archive analysis

Contributing

We welcome contributions! Please see CONTRIBUTING.md for details on:

• Code of conduct
• Development setup
• Submitting pull requests
• Signature contributions

Support

For support and questions:

• GitHub Issues - Bug reports and feature requests
• Documentation - Complete project documentation
• SEMCL.ONE Community - Ecosystem support and discussions

License

Apache License 2.0 - see LICENSE file for details.

Authors

See AUTHORS.md for a list of contributors.

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Part of the SEMCL.ONE ecosystem for comprehensive OSS compliance and code analysis.