ShadowSeek — Advanced Binary Security Analysis Platform

🔍 Enterprise-grade binary security analysis with AI-powered vulnerability detection and intelligent fuzzing harness generation

🚨 Why ShadowSeek Matters

ShadowSeek is redefining how security teams and researchers approach binary analysis.
Built from the ground up with AI-native workflows, it empowers organizations to move from tedious reverse engineering to fast, automated, evidence-based vulnerability detection and fuzzing.

93%+ detection confidence powered by AI and pattern correlation
75+ dangerous function patterns recognized out-of-the-box
Professional, shareable reports for audit and compliance
Rapid onboarding: 5-minute setup, intuitive UI, visual workflow diagrams
Transformative efficiency: Go from upload to actionable findings in minutes

📚 Documentation & Diagrams

ShadowSeek documentation is designed to make complex binary security accessible:

User Docs: Visual guides, onboarding, and workflow diagrams
Documentation Hub: Technical deep-dives, architecture, and analysis pipeline

🏗️ Architecture Overview

graph TB
    subgraph "Client Layer"
        A[Web Browser :3000]
        B[REST API Clients]
        C[CI/CD Systems]
    end
    
    subgraph "Application Layer"
        D[React Frontend]
        E[Flask API Server :5000]
        F[Task Manager]
        G[AI Services]
        H[Security Engine]
        I[Fuzzing Generator]
    end
    
    subgraph "Analysis Layer"
        J[Ghidra Bridge :4768]
        K[Ghidra Headless Analyzer]
        L[Analysis Scripts]
    end
    
    subgraph "Data Layer"
        M[SQLite Database]
        N[File System Storage]
        O[Temporary Processing]
    end
    
    subgraph "External Services"
        P[OpenAI GPT-4]
        Q[Anthropic Claude]
        R[Custom AI Models]
    end
    
    A --> D
    B --> E
    C --> E
    D --> E
    E --> F
    E --> G
    E --> H
    E --> I
    F --> J
    J --> K
    K --> L
    E --> M
    E --> N
    F --> O
    G --> P
    G --> Q
    G --> R

🎯 Transforming Fuzzing with Intelligent Target Selection

ShadowSeek leverages advanced risk scoring and AI-powered decision-making to select the most valuable fuzzing targets:

graph TD
    A[Security Analysis] --> B[Function Risk Scoring]
    B --> C[AI Target Selection]
    C --> D[Priority Ranking]
    D --> E[Harness Generation]
    
    subgraph "Risk Factors"
        F[Buffer Operations]
        G[Input Validation]
        H[Format Strings]
        I[Memory Management]
    end
    
    B --> F
    B --> G
    B --> H
    B --> I

✨ Key Features

🧠 AI-Powered Security Analysis — LLM-enhanced vulnerability detection with confidence scoring
🎯 Intelligent Fuzzing — AI-driven harness generation for AFL/AFL++/HongFuzz/LibFuzzer
🛡️ Comprehensive Detection — 75+ function patterns, CWE/CVE classification
🔄 Binary Diff Analysis — Compare binary versions with ghidriff
🎨 Professional UI — React dashboard, VS Code-style syntax highlighting
📊 Unified Security Dashboard — End-to-end workflow in one view
⚡ Production-Ready Output — Enterprise-quality harnesses and reports

⚡ Quick Start

1. Clone and Auto-Setup (Recommended)

git clone https://github.com/threatpointer/ShadowSeek.git
cd ShadowSeek

# 🚀 One-command setup - installs everything automatically!
python setup-shadowseek.py

Setup Options

# Common setup options
python setup-shadowseek.py --auto              # Non-interactive mode
python setup-shadowseek.py --refresh-env       # Refresh environment variables
python setup-shadowseek.py --skip-system-check # Skip dependency checks
python setup-shadowseek.py --force-continue    # Continue with missing deps

2. Access Platform

Main Interface: http://localhost:3000
API Documentation: http://localhost:5000/api/docs
System Status: http://localhost:5000/api/status

🛠️ Requirements

Python 3.8+ (required)
8GB+ RAM for binary analysis
20GB+ disk space for projects/results
Windows, macOS, or Linux (Windows recommended)

Auto-installed by setup script: Ghidra 10.4+, Node.js 16+, Java JDK 11+, Git, Python packages

📋 Usage Workflow

Binary Upload → AI Security Analysis → Security Findings →
Function Navigation → Fuzzing Generation → Code Viewing →
Download & Deploy → Vulnerability Hunting

👨‍💻 About the Author

Mohammed Tanveer (@threatpointer) — Security Researcher & Architect
Links: GitHub | Twitter | LinkedIn

🏆 Acknowledgments

ghidriff — Python command-line Ghidra binary diffing engine (repo)
Ghidra — NSA's Software Reverse Engineering Framework
AFL/AFL++ — Advanced fuzzing frameworks
React & Flask — Frontend and backend frameworks

📄 License

MIT License — See LICENSE file for details

🤝 Contributing & Support

Contributions: Welcomed, especially from security practitioners
Support:
- Docs and user-docs
- GitHub Issues
- Security issues: report privately to @threatpointer

ShadowSeek — Transforming binary security analysis through AI-powered intelligence and professional automation.

Developed with ❤️ by @threatpointer for the global cybersecurity community 🔍✨