AutoPentestX, a new open-source tool for automated penetration testing on Linux systems, allows users to conduct comprehensive security assessments with a single command. Developed by Gowtham Darkseid and released in November 2025, the toolkit emphasizes safe, non-destructive evaluations and generates detailed PDF reports. It targets distributions like Kali Linux, Ubuntu, and Debian.
AutoPentestX streamlines security testing by automating key processes such as operating system detection, port scanning, service enumeration, and vulnerability assessments. Released in November 2025 by developer Gowtham Darkseid, the toolkit is designed specifically for Linux environments, including Kali Linux, Ubuntu, and other Debian-based systems. It integrates established tools like Nmap for network discovery, Nikto and SQLMap for web application testing, and performs CVE lookups to score risks using CVSS metrics.
Results from scans are stored in an SQLite database, enabling persistent data for analysis and JSON exports for further integration. The tool also generates Metasploit RC scripts for reviewing potential exploits manually, but operates in a safe mode to avoid any actual harm or disruption to target systems. Installation requires Python 3.8 or higher, root access, and dependencies such as Nmap; users can clone the repository and run an install script or set up a virtual environment manually.
To use, administrators execute a simple command with a target IP address, which launches a full assessment lasting 5 to 30 minutes. Output directories include reports with professional PDFs featuring executive summaries, tables of open ports, CVE details, and risk classifications—such as critical for CVSS scores of 9.0 or above. These reports include weighted scores based on exploitability and provide remediation recommendations. Options allow skipping web scans or disabling safe mode, though the latter is discouraged.
All actions are logged for auditing purposes, and the toolkit includes clear disclaimers stressing its use only for authorized testing in compliance with legal standards. Looking ahead, planned enhancements involve support for multiple targets and machine learning-based predictions to improve vulnerability forecasting.
