Yersinia vs Recon-ng vs Medusa: Which Digital Forensics Tool tool is Best in 2025?

Yersinia is an open-source, robust framework for executing layer 2 (Data Link Layer) network attacks, designed to exploit vulnerabilities in various network protocols. Integrated into Kali Linux, Yersinia empowers cybersecurity professionals, penetration testers, and network administrators to analyze and test the security of deployed networks. Named after the plague-causing bacterium Yersinia pestis, it targets protocols like STP, DHCP, CDP, and VLAN, enabling users to simulate attacks such as DHCP starvation, VLAN hopping, and spanning tree manipulation.

Recon-ng is a powerful, open-source web reconnaissance framework written in Python, designed for open-source intelligence (OSINT) gathering and web-based information collection. Pre-installed on Kali Linux (version 5.1.2 in the latest releases), it features a modular architecture with a Metasploit-like interface, offering independent modules, database interaction, and interactive help for efficient reconnaissance. Recon-ng supports tasks like domain enumeration, subdomain discovery, vulnerability scanning, and contact harvesting, with modules for GeoIP lookup, DNS lookup, and Shodan integration. Its marketplace allows users to install additional modules. Ideal for ethical hackers, penetration testers, and cybersecurity professionals, Recon-ng streamlines network footprinting and vulnerability assessment, storing data in workspace databases for organized analysis. It’s maintained by Tim Tomes and hosted on GitHub, with a vibrant community for support.

Medusa is a powerful open-source password cracker pre-installed in Kali Linux (version 2.3~rc1), crafted for cybersecurity professionals and penetration testers. This parallelized login brute-forcer for security audits targets numerous network services, making it a leading network password-cracking tool for ethical hacking. With an 803 KB footprint and a modular architecture, Medusa streamlines credential attacks, empowering testers to identify weak passwords and secure systems effectively.