SilentSniffer
+1.5kA professional, high-fidelity de-anonymization and vulnerability diagnostic framework. Features a zero-coupling modular architecture for browser-based intelligence gathering, hardware fingerprinting, and security research.
Chủ đề #ethical-hacking trên GitHub — repository trong kho Beeknoee có gắn topic này.
A professional, high-fidelity de-anonymization and vulnerability diagnostic framework. Features a zero-coupling modular architecture for browser-based intelligence gathering, hardware fingerprinting, and security research.
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
Shannon is an AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
A Claude Code skill bundle for bug hunting and external red-team work - 82 skills, 15 slash commands, 681 disclosed-report patterns curated across 24 core vulnerability classes, plus enterprise identity + infrastructure attack matrices.
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
AI-powered bug bounty hunting toolkit that works with or without subscription.
🕵️♂️ (2-in-1) Email & Username OSINT suite featuring native MCP support for deep data extraction just from a single Email/Username. Analyzes 2720+ actively maintained scan vectors (210+ email / 2510+ username) for security research, investigations, and digital footprinting.
Autonomous AI pentesting agents — real-time reconnaissance, vulnerability detection, and exploitation orchestration. Go + TypeScript.
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