xalgorix

Xalgorix — Open-source AI pentester that proves vulnerabilities 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...

apex

Pensar Apex 자율 에이전트를 사용한 AI 기반 침투 테스트 — 터미널에서 바로 실행하세요. 탐색하고, 추론하고, 실제 취약점을 찾아내는 블랙박스 및 화이트박스 펜테스트를 실행하세요. 클라우드에서 실행하거나 CI/CD에 통합하고 싶으신가요? Pensar Console을 참조하세요. 사용 사례 개발자 PR을 병합하기 전에 /pentest를 실행하세요 — 테스트를 실행하는 것처럼 자연스럽게 취약점을 발견할 수 있습니다 심각도 점수, 증거, 제안된 수정 사항이 포함된 실행 가능한 결과를 얻으세요 — 보안 배경지식이 필요 없습...

Dark-Moon

The Open-Source AI-...

DarkMoon - the Open-Source AI-Powered Autonomous Penetration Testing Platform

DarkMoon is an automated penetration testing tool that orchestrates complete security assessments using artificial intelligence security agents. Built as an open-source cybersecurity tool, it enables organizations to run professional-grade vulnerability assessments without manual intervention...

LLMtary

LLMtary Elementary — AI-Powered Penetration Testing Platform...

Exploit for Cross-site Scripting in Exclusiveaddons Exclusive_Addons_For_Elementor

WP-Hunter MCP - Autonomous Bug Bounty Hunting MCP SERVER...

TreeTeaming: Autonomous Red-Teaming of Vision-Language Models Via Hierarchical Strategy Exploration

The rapid advancement of Vision-Language Models VLMs has brought their safety vulnerabilities into sharp focus. However, existing red teaming methods are fundamentally constrained by an inherent linear exploration paradigm, confining them to optimizing within a predefined strategy set and...

AWE: Adaptive Agents for Dynamic Web Penetration Testing

Modern web applications are increasingly produced through AI-assisted development and rapid no-code deployment pipelines, widening the gap between accelerating software velocity and the limited adaptability of existing security tooling. Pattern-driven scanners fail to reason about novel contexts,...

Vajra

⚡ Vajra ██╗ ██╗ █████╗ ██╗██████╗ █████╗ ██║...

XOffense: an AI-Driven Autonomous Penetration Testing Framework with Offensive Knowledge-Enhanced LLMs and Multi Agent Systems

This work introduces xOffense, an AI-driven, multi-agent penetration testing framework that shifts the process from labor-intensive, expert-driven manual efforts to fully automated, machine-executable workflows capable of scaling seamlessly with computational infrastructure. At its core, xOffense...

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing

As the frequency of cyber threats increases, conventional penetration testing is failing to capture the entirety of todays complex environments. To solve this problem, we propose the Vulnerability Mitigation System VMS, a novel agent based on a Large Language Model LLM capable of performing...

AutoPentest: Enhancing Vulnerability Management with Autonomous LLM Agents

A recent area of increasing research is the use of Large Language Models LLMs in penetration testing, which promises to reduce costs and thus allow for higher frequency. We conduct a review of related work, identifying best practices and common evaluation issues. We then present AutoPentest, an...

Why the Next-Generation of Application Security Is Needed

By David Brumley Software is revolutionizing the way the world operates. From driverless cars to cryptocurrency, software reimagines possibilities. With software standing at the core of everything we do, we find ourselves pushing out code faster than ever. Current estimates show that there are mo...