maxx

This tool is intended for use by authorized security testers only. Unauthorized testing is prohibited and will be at your own risk.

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MaXx

MaXx is a modular network security scanner combining:

• Port scanning with service fingerprinting (√)
• Credential auditing (Brute-force & dictionary attacks) (√)
• Vulnerability assessment (CVE detection) (√)
• Automated exploit chaining (Beta:Coming soon)

If you like this tool, please star it~

About Port Scanning

About Service Cracking

For webshell brute-force details, refer to docs/webshell

About Vulnerability Scanning

Snapshot

🚀 Project Roadmap

📅 June: WebShell Detection & Brute-Force Module

• Compact Webshell Detection: Supports fingerprinting and brute-force attacks for common PHP/ASP/JSP one-liner webshells
• Advanced Webshell Analysis: Capable of identifying and testing popular frameworks (Godzilla/Ice Scorpion, Behinder/Chopper)
• Intelligent Form Cracking: Automated login brute-forcing with integrated CAPTCHA bypass (OCR/TensorFlow)

🌞 July-August: OWASP Top 10 Scanner

• Comprehensive Vulnerability Assessment: Full coverage of OWASP Top 10 threats (SQLi, XSS, CSRF, etc.) with CTF/red team optimizations
• Adaptive Payload Engine: Context-aware attack vector generation with false-positive reduction
• Risk Prioritization: Automated CVSS scoring and remediation guidance

🍂 September-October: Asset Discovery Suite

• High-Performance Port Scanning: Async TCP/UDP scanning with service correlation
• Precision Fingerprinting: Version detection for 2000+ web apps/middleware/databases
• Integrated PoC Framework: Native support for nuclei/xray templates with validation checks

❄️ December: Autonomous Security Platform

• End-to-End Pentesting: Unified workflow (Discovery → Credential Testing → Vuln Scanning → Exploitation)
• Executive Reporting: Auto-generated reports with executive summaries and technical details
• Exploitation Chaining: Conditional attack paths based on vulnerability relationships

Reference Projects

https://github.com/chainreactors/zombie

https://github.com/lcvvvv/kscan