Recon-ng vs Splunk vs Scalpel: Which Custom GPU Kernels tool is Best in 2025?

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.

Splunk, a Cisco company, empowers organizations to thrive in the digital age with its cutting-edge cybersecurity and observability platform. By harnessing AI and real-time data analytics, Splunk helps businesses proactively secure their systems, optimize performance, and drive resilience across IT, OT, and multicloud environments—trusted by global leaders to turn data into decisive action.

Scalpel is an open-source, high-performance file carving utility pre-installed on Kali Linux at /usr/bin/scalpel, designed for recovering deleted or hidden files from disk images and raw block devices. Developed by Golden G. Richard III as an enhanced rewrite of Foremost 0.69, Scalpel leverages header and footer signatures to extract files, bypassing file system metadata. Supporting formats like JPEG, PDF, MP3, and DOC, it’s a critical tool for digital forensic investigators, incident responders, and ethical hackers conducting cyber forensic investigations and file recovery. Scalpel’s multithreading, GPU acceleration, and regular expression support make it exceptionally fast and versatile.