🐯 Hacker Tiger

Deploy once, evolve forever.


📖 Overview

Welcome to Hacker Tiger, a revolutionary, end-to-end deployment validation system that combines blockchain immutability, AI-powered security analysis, and multi-agent consensus to create the most secure and intelligent deployment pipeline ever built.

Mission:
Eliminate deployment vulnerabilities and security breaches by creating an unhackable, AI-governed pipeline.
We replace fallible human code review with deterministic, multi-agent AI consensus, ensuring every code deployment is rigorously validated, cryptographically verified, and immutably recorded before reaching production.


🎯 The Problem We Solve

  • 70% of security breaches originate from vulnerable deployments.
  • 40% of production issues result from human error in code review.
  • No immutable audit trails make incidents hard to trace.
  • Compliance violations (GDPR, SOC2, HIPAA) cost millions.

Hacker Tiger solves these problems by providing mathematical guarantees of security and compliance through its unique, automated, and self-evolving architecture.


🏗️ System Architecture

Hacker Tiger is built on three foundational pillars:

  1. Django Backend: The Central Hub

    • Web Interface & API Gateway: User-friendly dashboard and RESTful API.
    • Blockchain Ledger Management: Immutable, blockchain-like ledger for cryptographic evidence.
    • Orchestration: Coordinates validation and deployment workflows.
  2. Multi-Agent Validation System: The Brain

    • 13 specialized AI agents work in parallel to scrutinize deployments for vulnerabilities, regressions, privacy risks, and more.
  3. Deployment System: The Execution Engine

    • Repository Cloning: Clones target GitHub repo and commit.
    • Intelligent Deployment: Detects project type (HTML, Node.js, Jekyll, etc.) and deploys.
    • Live Serving & Health Monitoring: Serves app and monitors health/performance.

🤖 The 13 Specialized Agents

A symphony of expertise inspired by methodologies from the Microsoft AI Red Team (PyRIT):

Role
Security Agent
Red Team Agent
Anomaly Detection
Threat Model Agent
Compliance Agent
Authorization Agent
Performance Agent
Explainability Agent
Privacy Agent
Specialized Roles

🧠 The Consensus Algorithm

No single agent can approve or reject a deployment.
A weighted consensus algorithm (inspired by blockchain Proof-of-Stake) ensures robust, reliable outcomes:

Formula:

Consensus Score = (Σ(wᵢ × cᵢ × sᵢ)) / Σ(wᵢ)
  • wᵢ: Agent Weight (stake, reputation, performance)
  • cᵢ: Agent Confidence (self-reported)
  • sᵢ: Agent Verdict Score (1.0 for APPROVE, 0.0 for REJECT)

🔐 The Unbreakable Chain: Context-Aware Key Generation

Every action, validation, and signature is secured by a unique cryptographic key pair—generated by a novel, context-aware algorithm.

How it works:

  1. Gather Contextual Entropy

    • session_id, user_id, ip_address
    • block_hash, parent_hash, block_id
    • deployment_id, commit_hash
    • agent_name, audit_id, timestamp
  2. Create Secure Seed with HKDF

    # Combine all identifiers
    input_bytes = (session_id + block_hash + agent_name + timestamp + ...).encode()
    # HKDF to derive a secure seed
    from cryptography.hazmat.primitives.kdf.hkdf import HKDF
    from cryptography.hazmat.primitives.hashes import SHA256
    kdf = HKDF(algorithm=SHA256(), length=32, salt=None, info=b'hacker-tiger-key-derivation')
    key_seed = kdf.derive(input_bytes)
    
  3. Generate Ed25519 Key Pair

    from cryptography.hazmat.primitives.asymmetric.ed25519 import Ed25519PrivateKey
    priv_key = Ed25519PrivateKey.from_private_bytes(key_seed)
    pub_key = priv_key.public_key()
    

Security Benefits:

  • Near-Zero Duplication: Massive entropy makes duplicate keys virtually impossible.
  • Maximum Granularity: Attackers must compromise all system layers to predict a key.
  • Perfect Forward Secrecy: Each key is ephemeral and context-bound; one compromise doesn't affect others.

🚀 Getting Started

Prerequisites

  • Python 3.10+
  • Git
  • Google Gemini API Key (for full AI analysis)

Local Setup

git clone <your-repository-url>
cd jango/hackathon
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python manage.py migrate
python manage.py runserver 0.0.0.0:8000

Access the Platform


🤝 Contributing

We welcome community contributions!
See our contributing guidelines to get started:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit changes (git commit -m 'Add some AmazingFeature')
  4. Push to branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

🙏 Acknowledgments

  • Microsoft AI Red Team (PyRIT): Pioneering red teaming methodologies.
  • Google Gemini: State-of-the-art AI capabilities.
  • Open-source community: Invaluable tools and inspiration.

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