Autopsy vs dnsenum vs Commix vs WifiPumpkin3: Which WordPress Security Scanner tool is Best in 2025?

Autopsy is an open-source digital forensics platform and graphical interface to The Sleuth Kit (TSK), pre-installed on Kali Linux at /usr/bin/autopsy. Developed by Basis Technology and Brian Carrier, it provides a user-friendly web-based GUI for analyzing disk images and file systems, including Windows (NTFS, FAT), UNIX (EXT2FS, EXT3FS, FFS), and mobile devices (Android, iOS). Used by law enforcement, military, and corporate investigators, Autopsy facilitates evidence recovery, timeline analysis, and case management for cyber forensic investigations. Its intuitive design and real-time results make it a cornerstone for ethical hackers and forensic analysts.

dnsenum is a multithreaded, open-source Perl script included in Kali Linux for enumerating DNS information about a target domain. Designed for penetration testers, ethical hackers, and forensic experts, it gathers extensive data such as host addresses (A records), name servers (NS), mail servers (MX), subdomains, and non-contiguous IP blocks. Key features include Google scraping for subdomain discovery, brute-forcing subdomains, zone transfer attempts, whois queries, and reverse DNS lookups.

Commix, short for Command Injection Exploiter, is an open-source tool pre-installed in Kali Linux (version 4.0), tailored for penetration testers and ethical hackers. This automated command injection tool for web security detects and exploits command injection flaws in web applications, making it a leading web vulnerability scanner for cybersecurity professionals. With a 1.05 MB footprint and support for multiple injection techniques, Commix provides pseudo-terminal shells and system access, streamlining security assessments for web developers and researchers.

WifiPumpkin3 is a powerful open-source wireless network auditing framework for ethical hacking, integrated into Kali Linux (version 2024.06.R1). As a rogue access point attack tool for cybersecurity, it creates fake Wi-Fi networks to perform man-in-the-middle attacks, making it a top wireless credential harvesting tool for penetration testing. Written in Python 3.8+ with a 29.24 MB size, it offers a Metasploit-like interface and sub-tools like CaptiveFlask for custom captive portals.