AI Cyber Agent is an advanced, AI-powered cyber security scanner designed for red team operations and bug bounty hunting. It features modular architecture, dynamic payload generation, and comprehensive reporting.
🌟 Key Features

    🤖 AI/ML Integration:
        Dynamic Payload Generation: Uses distilgpt2 (via Hugging Face transformers) to generate context-aware payloads for XSS, SQLi,
        LFI, Command Injection, Open Redirect.
        WAF/IDS Bypass: Applies intelligent obfuscation and encoding techniques (URL encoding, HTML entity encoding, case mixing,
        comment insertion, etc.) to payloads generated by AI or statically.
        Target Analysis: Analyzes target technology stack (server, language, framework, CMS) to prioritize relevant vulnerability modules.
        Anomaly Detection: Monitors response times, sizes, status codes, and content for statistical anomalies,
        that might indicate subtle vulnerabilities or side-effects of injections.
        Extensible Design: Built with a modular structure, easily integrable with future custom security models (e.g., Llama-Guard, CyberSecEval).

    🔍 Comprehensive Vulnerability Scanning:
        XSS (Cross-Site Scripting): Tests for reflected XSS using dynamic payloads and WAF bypass techniques.
        SQLi (SQL Injection): Tests for error-based SQL injection using dynamic payloads and WAF bypass techniques.
        LFI (Local File Inclusion): Tests for local file inclusion vulnerabilities using dynamic payloads and WAF bypass techniques.
        Command Injection: Tests for command execution vulnerabilities using dynamic payloads and WAF bypass techniques.
        Open Redirect: Tests for open redirect vulnerabilities using dynamic payloads and WAF bypass techniques.
        CSRF (Cross-Site Request Forgery): Checks for missing anti-CSRF tokens in forms.
        SSRF (Server-Side Request Forgery) (Basic): Performs basic checks for SSRF based on parameter names.
        IDOR (Insecure Direct Object References) (Basic): Performs basic checks for IDOR based on URL parameter/path names.

    📈 Advanced Reporting:
        JSON: Structured, machine-readable output.
        HTML: Interactive, colorful reports with Bootstrap, including executive summary with risk statistics and detailed findings.
        Console: Rich, colored output using the rich library with structured tables and panels.

    🖥️ Dual Interface Support:
        CLI (Command Line Interface): Ideal for quick scans and automation.
        GUI (Graphical User Interface): User-friendly with visual feedback, powered by PyQt5.

    ⚙️ Professional Configuration:
        Proxy Support: Seamless integration with tools like Burp Suite for interception and analysis.
        Stealth Mode: Configurable delays and request throttling for less detectable scanning.
        Rate Limiting: Built-in delay settings to respect target server resources.
        Modular Design: Easily add new vulnerability modules.

CLI Interface

CLI Interface Example of CLI output showing scan progress and findings.
HTML Report - Executive Summary

HTML Report Summary Executive summary section of the HTML report with risk statistics.
HTML Report - Detailed Findings

HTML Report Details Detailed findings section of the HTML report.
📸 YouTube Video

AI Cyber Agent Demo

📦 Installation github.com/capture0x/ai-cyber-agent 

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