<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Penetration-Testing on Noureddine RAMDI</title><link>https://ramdi.fr/tags/penetration-testing/</link><description>Recent content in Penetration-Testing on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/penetration-testing/index.xml" rel="self" type="application/rss+xml"/><item><title>Inside reconFTW: orchestrating 50+ security tools for automated reconnaissance</title><link>https://ramdi.fr/github-stars/inside-reconftw-orchestrating-50-security-tools-for-automated-reconnaissance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-reconftw-orchestrating-50-security-tools-for-automated-reconnaissance/</guid><description>reconFTW automates over 50 security tools into a unified Shell-based pipeline for penetration testers and bug bounty hunters, supporting full lifecycle recon and distributed scanning.</description></item><item><title>LuaN1aoAgent: Autonomous penetration testing with P-E-R multi-agent causal graph reasoning</title><link>https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/</guid><description>LuaN1aoAgent uses a P-E-R multi-agent framework and causal graph reasoning to achieve 90.4% autonomous success on penetration tests with low exploit cost. Key for AI-driven pentesting.</description></item><item><title>FinalRecon: a unified Python CLI for comprehensive web reconnaissance and OSINT automation</title><link>https://ramdi.fr/github-stars/finalrecon-a-unified-python-cli-for-comprehensive-web-reconnaissance-and-osint-automation/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/finalrecon-a-unified-python-cli-for-comprehensive-web-reconnaissance-and-osint-automation/</guid><description>FinalRecon consolidates fragmented OSINT and web reconnaissance workflows into a single Python CLI tool, integrating multiple data sources and scanning techniques with modular API key support.</description></item><item><title>reNgine: A Django-based framework for customizable web reconnaissance pipelines</title><link>https://ramdi.fr/github-stars/rengine-a-django-based-framework-for-customizable-web-reconnaissance-pipelines/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rengine-a-django-based-framework-for-customizable-web-reconnaissance-pipelines/</guid><description>reNgine is a Django-powered web reconnaissance framework using YAML configurations to orchestrate multiple security tools with async concurrency and role-based access control.</description></item><item><title>watchtower: langgraph orchestration for automated pentesting workflows</title><link>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</guid><description>Watchtower orchestrates 23 security tools via a LangGraph multi-agent system for automated pentesting. It uses a Planner-Worker-Analyst pattern, SQLite state, and supports multiple LLM providers.</description></item><item><title>AI penetration testing knowledge base: structured resources for LLM security research</title><link>https://ramdi.fr/github-stars/ai-penetration-testing-knowledge-base-structured-resources-for-llm-security-research/</link><pubDate>Mon, 04 May 2026 10:09:00 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-penetration-testing-knowledge-base-structured-resources-for-llm-security-research/</guid><description>A curated repository for AI/LLM penetration testing covering prompt injection, adversarial ML, and LLM red teaming with the OWASP LLM Top 10 framework.</description></item><item><title>SecLists: the essential wordlist collection for security testing</title><link>https://ramdi.fr/github-stars/seclists-the-essential-wordlist-collection-for-security-testing/</link><pubDate>Sat, 02 May 2026 20:02:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/seclists-the-essential-wordlist-collection-for-security-testing/</guid><description>SecLists is a comprehensive collection of security testing wordlists and payloads, essential for penetration testers and researchers seeking standardized, ready-to-use resources.</description></item></channel></rss>