Files
fuzzforge_ai/test_projects
tduhamel42 aa2cd48b00 feat: Add Android static analysis workflow with Jadx, OpenGrep, and MobSF
Comprehensive Android security testing workflow converted from Prefect to Temporal architecture:

Modules (3):
- JadxDecompiler: APK to Java source code decompilation
- OpenGrepAndroid: Static analysis with Android-specific security rules
- MobSFScanner: Comprehensive mobile security framework integration

Custom Rules (13):
- clipboard-sensitive-data, hardcoded-secrets, insecure-data-storage
- insecure-deeplink, insecure-logging, intent-redirection
- sensitive_data_sharedPreferences, sqlite-injection
- vulnerable-activity, vulnerable-content-provider, vulnerable-service
- webview-javascript-enabled, webview-load-arbitrary-url

Workflow:
- 6-phase Temporal workflow: download → Jadx → OpenGrep → MobSF → SARIF → upload
- 4 activities: decompile_with_jadx, scan_with_opengrep, scan_with_mobsf, generate_android_sarif
- SARIF output combining findings from all security tools

Docker Worker:
- ARM64 Mac compatibility via amd64 platform emulation
- Pre-installed: Android SDK, Jadx 1.4.7, OpenGrep 1.45.0, MobSF 3.9.7
- MobSF runs as background service with API key auto-generation
- Added aiohttp for async HTTP communication

Test APKs:
- BeetleBug.apk and shopnest.apk for workflow validation
2025-10-23 10:25:52 +02:00
..

FuzzForge Vulnerable Test Project

This directory contains a comprehensive vulnerable test application designed to validate FuzzForge's security workflows. The project contains multiple categories of security vulnerabilities to test security_assessment, gitleaks_detection, trufflehog_detection, and llm_secret_detection workflows.

Test Project Overview

Vulnerable Application (vulnerable_app/)

Purpose: Comprehensive vulnerable application for testing security workflows

Supported Workflows:

  • security_assessment - General security scanning and analysis
  • gitleaks_detection - Pattern-based secret detection
  • trufflehog_detection - Entropy-based secret detection with verification
  • llm_secret_detection - AI-powered semantic secret detection

Vulnerabilities Included:

  • SQL injection vulnerabilities
  • Command injection
  • Hardcoded secrets and credentials
  • Path traversal vulnerabilities
  • Weak cryptographic functions
  • Server-side template injection (SSTI)
  • Pickle deserialization attacks
  • CSRF missing protection
  • Information disclosure
  • API keys and tokens
  • Database connection strings
  • Private keys and certificates

Files:

  • Multiple source code files with various vulnerability types
  • Configuration files with embedded secrets
  • Dependencies with known vulnerabilities

Expected Detections: 30+ findings across both security assessment and secret detection workflows


Usage Instructions

Testing with FuzzForge Workflows

The vulnerable application can be tested with multiple security workflows:

# Test security assessment workflow
curl -X POST http://localhost:8000/workflows/security_assessment/submit \
  -H "Content-Type: application/json" \
  -d '{
    "target_path": "/path/to/test_projects/vulnerable_app"
  }'

# Test Gitleaks secret detection workflow
curl -X POST http://localhost:8000/workflows/gitleaks_detection/submit \
  -H "Content-Type: application/json" \
  -d '{
    "target_path": "/path/to/test_projects/vulnerable_app"
  }'

# Test TruffleHog secret detection workflow
curl -X POST http://localhost:8000/workflows/trufflehog_detection/submit \
  -H "Content-Type: application/json" \
  -d '{
    "target_path": "/path/to/test_projects/vulnerable_app"
  }'

Expected Results

Each workflow should produce SARIF-formatted results with:

  • High-severity findings for critical vulnerabilities
  • Medium-severity findings for moderate risks
  • Detailed descriptions and remediation guidance
  • Code flow information where applicable

Validation Criteria

A successful test should detect:

  • Security Assessment: At least 20 various security vulnerabilities
  • Gitleaks Detection: At least 10 different types of secrets
  • TruffleHog Detection: At least 5 high-entropy secrets
  • LLM Secret Detection: At least 15 secrets with semantic understanding

Security Notice

⚠️ WARNING: This project contains intentional security vulnerabilities and should NEVER be deployed in production environments or exposed to public networks. It is designed solely for security testing and validation purposes.

File Structure

test_projects/
├── README.md
└── vulnerable_app/
    ├── [Multiple vulnerable source files]
    ├── [Configuration files with secrets]
    └── [Dependencies with known issues]