Fern-Wifi-Cracker vs JD-GUI vs ExploitDB vs Eaphammer: Which Open Source AI Agent Runtime Environment tool is Best in 2025?

Fern-Wifi-Cracker is a powerful open-source wireless network auditing tool for ethical hacking, integrated into Kali Linux (version 2024.06.R1). As a GUI-based Wi-Fi penetration testing software, it cracks WEP, WPA, WPA2, and WPS keys, making it a premier wireless password-cracking tool for cybersecurity. Written in Python with a Python Qt GUI, its 1.13 MB size and automation features simplify wireless security assessments for professionals and beginners alike.

JD-GUI is an open-source, standalone graphical Java decompiler, available on Kali Linux at /usr/bin/jd-gui, designed for reverse-engineering compiled Java applications by extracting readable source code from .class or .jar files. Developed by Emmanuel Dupuy and packaged for Kali by Sophie Brun, JD-GUI provides a user-friendly GUI to browse class hierarchies, view decompiled Java code, and save sources as .java files. Ideal for cybersecurity researchers, Android developers, and ethical hackers, it supports malware analysis, code auditing, and vulnerability research. Often paired with tools like Dex2Jar, JD-GUI simplifies Java bytecode analysis.

ExploitDB, or Exploit Database, is a premier open-source repository pre-installed in Kali Linux (version 20250522), designed for penetration testers and cybersecurity professionals. This exploit archive tool for ethical hacking hosts over 40,000 verified exploits and shellcodes, making it a leading vulnerability exploit database for security research. With a 189.18 MB footprint and the searchsploit tool, ExploitDB enables precise searches by CVE, platform, or keyword, empowering testers to identify and test vulnerabilities efficiently.

Eaphammer is a cutting-edge open-source wireless network auditing toolkit for ethical hacking, seamlessly integrated into Kali Linux (version 2024.06.R1). As a targeted evil twin attack tool for WPA2-Enterprise networks, it executes sophisticated attacks like credential theft and hostile portal pivots, making it a premier wireless security assessment tool for cybersecurity. Written in Python with an 11.41 MB size, it offers a user-friendly interface for rapid penetration testing with minimal setup.