Back to List
TechnologyAICybersecurityAutomation

Shannon: Autonomous AI Hacker Achieves 96.15% Success Rate in Web Application Vulnerability Discovery

Shannon, an autonomous AI hacker developed by KeygraphHQ, has demonstrated remarkable capabilities in identifying real vulnerabilities within web applications. The AI achieved an impressive 96.15% success rate in the unprompted, source-code-aware XBOW benchmark. This tool is designed to automatically discover actual vulnerabilities in web applications, as highlighted by its performance on the benchmark.

GitHub Trending
Share

Shannon, an innovative project from KeygraphHQ, is an autonomous artificial intelligence hacker designed to discover actual vulnerabilities in web applications. The AI has showcased its effectiveness by achieving a 96.15% success rate in the XBOW benchmark. This benchmark is characterized by being unprompted and source-code-aware, indicating Shannon's ability to operate effectively without explicit instructions and with an understanding of the underlying source code. The project is available on GitHub Trending, suggesting its growing recognition and potential impact in the cybersecurity domain.

Read Original Article

Related News

Technology

Open-Mercato: AI-Powered CRM/ERP Framework for R&D, Operations, and Growth – Enterprise-Grade, Modular, and Highly Customizable

Open-Mercato is an AI-supported CRM/ERP foundational framework designed to empower research and development, new processes, operations, and growth. It boasts a modular and scalable architecture, specifically tailored for teams seeking robust default functionalities alongside extensive customization options. The framework positions itself as a superior enterprise-grade alternative to solutions like Django and Retool, offering a powerful platform for businesses.

Technology

Heretic: Fully Automated Censorship Removal for Language Models Trending on GitHub

Heretic, a new project by p-e-w, has recently gained traction on GitHub Trending. Published on February 21, 2026, this tool focuses on the fully automated removal of censorship from language models. The project's primary aim is to provide a solution for users seeking to bypass restrictions within these AI systems, as indicated by its brief description and prominent GitHub presence.

Technology

Superpowers: A Comprehensive Software Development Workflow and Skill Framework for Coding Agents on GitHub Trending

Superpowers, recently featured on GitHub Trending, introduces an effective agent skill framework and a complete software development methodology. Designed for coding agents, this workflow is built upon a foundation of composable 'skills' and includes an initial set of these skills. It aims to streamline the development process for AI-driven coding agents by providing a structured and modular approach to their capabilities.