Wapiti vs Veil vs Yersinia: Which AI Learning Platform tool is Best in 2025?

Wapiti, pre-installed in Kali Linux, is an open-source web application vulnerability scanner designed for black-box security testing of web applications. Written in Python, it crawls websites to identify scripts and forms, injecting payloads to detect vulnerabilities such as SQL injection, cross-site scripting (XSS), file disclosure, command execution, XML external entity (XXE) injection, CRLF injection, and server-side request forgery (SSRF). Wapiti leverages a Nikto database to search for dangerous files and supports authentication, proxies, Tor, and customizable scan scopes (e.g., page, folder, domain). Its lightweight 1.54 MB footprint and modular design make it ideal for penetration testers and security auditors.

Veil is an open-source framework designed to generate Metasploit payloads that bypass common antivirus solutions, pre-installed on Kali Linux at /usr/share/veil. Developed by Chris Truncer and maintained by the Veil-Framework community, it consists of two main tools: Veil-Evasion for creating undetectable executables and Veil-Ordnance for generating custom shellcode. Veil leverages languages like Python, C, Go, and PowerShell to produce payloads for Windows, Linux, and macOS, integrating with Metasploit for penetration testing. Its obfuscation techniques and encryption options make it a critical tool for ethical hackers and red teamers.

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.