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Tags: Penetration testing
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1–24 of 27 · Most stars

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

Full-featured C2 framework which silently persists on webserver with a single-line PHP backdoor

  • post-exploitation
  • hacking
  • backdoor
  • stealth

Crack legacy zip encryption with Biham and Kocher's known plaintext attack.

  • crack
  • zip
  • multithread
  • attack

Lonkero - Wraps around your attack surface. Professional-grade scanner for real penetration testing. Fast. Modular. Rust.

  • cve-scanning
  • pentesting-tools
  • rust
  • vulnerability-scanners

"Security Incidents In A Box!" A modular, menu-driven, cross-platform tool for building customized, time-delayed, distributed security events. Easily create custom event chains for Blue- & Red Team drills and sensor / alert mapping. Red Teams can create decoy incidents, distractions, and lures to support and scale their operations. Build event sequences ("narratives") to simulate realistic scenarios and generate corresponding network and filesystem artifacts.

ScopeWeaver: English and Korean localization of ARTEX, with preserved AGPL-3.0 attribution.

Advanced keyboard-walk generator with configureable basechars, keymap and routes

HAT (Hashcat Automation Tool) - An Automated Hashcat Tool for common wordlists and rules to speed up the process of cracking hashes during engagements. Created for Linux based systems

NullKia Mobile Security Framework - Tools in Nim, Crystal, V, D, Red, Odin, Haxe, Zig, Kotlin, Lua, PHP, Python | bad-antics | github.com/bad-antics

  • android-hacking
  • baseband
  • bootloader-unlock
  • checkm8

Create n-grams of wordlists based on words, characters, or charsets to use in offline password attacks and data analysis

Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries