631 matches found
Xalgorix Autonomous AI Pentesting Agent 4.6.107
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...
Xalgorix Autonomous AI Pentesting Agent 4.6.99
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...
ethibench
From Controlled to the Wild: Evaluation of Pentesting Agents in the Real-World AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide limited guidance on which systems will perform best on real-world targets. Most existing evaluations...
Lurkstrain
Lurkstrain An all in one admin panel crawler for pentesters...
LiquidNet
LiquidNet 🌐🔍 LiquidNet is an IPv4 grabber/scanner designed to help pentesters gather IP addresses/global targets worldwide. This tool empowers security professionals to identify potential vulnerabilities across networks. Features 🛠️ IPv4 Gathering: Quickly and efficiently gather IP addresses...
Xalgorix Autonomous AI Pentesting Agent 4.6.95
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...
545 Hackers Tested It First. Now XRanges for AI Scores Your Security Agent
Autonomous security agents are getting good at finding bugs. Nobody has a good way to measure how good. Point one at a realistic target and what comes back is a report the agent wrote about itself: confident prose, a list of findings, and no way to tell which of them happened. Someone with a...
Xalgorix Autonomous AI Pentesting Agent 4.6.92
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...
Web-App-PenTesting
--- 🚀 Quick Start 1. Clone the repository bash git c...
Exploit for CVE-2026-64638
XSS2Shell: WordPress Pr...
CISO's Expert Guide to Agentic Pentesting for Websites
Attackers now weaponize new vulnerabilities in about five days Mandiant, part of Google Cloud. The median organization takes 43 days to patch one Verizon DBIR 2026. A new free guide explains how autonomous AI agents are closing that gap, and what security leaders must demand before pointing one a...
PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs
AI-driven penetration testing has been demonstrated with premium frontier models such as GPT-4, but the per-engagement token cost makes continuous, automated testing unaffordable for the smaller organisations that need it most. This paper presents PentestChain, a ten-phase automated penetration...
Pentesting-AI-assistant
Pentest Team Share — by laplapp ⚠️ EDUCATIONAL PURPOSES O...
Toward Secure AI-Powered Penetration Testing Agents: Security Threats, Guardrails, and Architectural Perspectives
LLM-powered autonomous agents are transforming the penetration testing space with dynamic, multi-step offensive security workflows that require minimal supervision by humans. These agents leverage sophisticated reasoning abilities and external security tools to independently carry out...
AndroidPhantom
👻 ANDROID PHANTOM 🏴☠️ The Next-Gen Android Pentesting Fr...
Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting
Logic attack graphs grounded in scanner output provide explicit and auditable attack path reasoning LLM-based agents lack. Integrating symbolic frameworks such as MulVAL to contemporary security workflows or agentic pipelines, however, requires translating scanner evidence to initial facts, and...
mulot
mulot -4285F4?logo=googlechrome&logoColor=white Agentic AI web pentester that drives a browser. An open-weights LLM GLM-5.2, Gemma or Qwen drives a real headless Chromium through a Burp-style toolkit and works a target the way a human pentester would. No frontier model, no agent running inside a...
strix v1.6.1
Strix The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. !TIP New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure cod...
Nightingale v1.1.47
Nightingale: Docker for Pentesters This project is supported by: | ---|--- Nightingale is a ready-to-use, multi-architecture Docker toolkit for pentesting and security research. It gives you a reproducible environment with curated tools for web, network, mobile, API, OSINT, and forensics workflow...