Initial Access Intelligence

CVE-2026-41089

Python

AutoPentest-DRL is an autonomous offensive security framework that bridges Artificial Intelligence with live network exploitation. By formulating penetration testing as a Markov Decision Process (MDP), this project utilizes a Dueling Double Deep Q-Network (D3QN) to autonomously map network states to their optimal attack vectors.

Jupyter Notebook

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Shell Python JavaScript CSS TypeScript

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Dockerfile Shell Python

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A multi-agent operations assistant that answers business questions by searching internal policy documents and helpdesk records. Built with a FastMCP server exposing tools over local data, and a CrewAI crew of three agents that retrieve evidence and write sourced reports.

Python

A complete, containerized Linux Privilege Escalation training laboratory featuring 15 distinct local privilege escalation vectors running purely in Docker.

boot2root cybersecurity-education docker-security linux-privilege-escalation local-privilege-escalation pentesting privilege-escalation vulnerable-by-design cybersecurity-red-team oscp-prep-ct-prep-hacking-lab

Dockerfile Shell C

extract_with_cover_at_least_4_features

Python

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Python Shell

Virtual penetration testing lab executing a 4-phase security methodology (Information Gathering, Focused Penetration, Post-Exploitation, Clean-up). Features Tenable Nessus scanning, NFS/SMB/rsync data harvesting, Shellshock RCE exploitation, HTTP request smuggling, and PHP application vulnerability validation.