Raccoon vs Linkedin2username: 2026 Comparison

Raccoon

Penetration testers and red teamers running reconnaissance on internal networks will move fastest with Raccoon because it consolidates OSINT and active scanning into a single free command-line interface, eliminating tool-switching overhead during information gathering phases. The 3,521 GitHub stars reflect real adoption by practitioners who rely on it for asset discovery and fingerprinting work that would otherwise require assembling five different utilities. Skip Raccoon if your team needs post-exploitation payload delivery or lateral movement capabilities; it's strictly reconnaissance, which means you're still building out your toolkit elsewhere.

Linkedin2username

Penetration testers and red teamers running targeted social engineering campaigns will extract immediate value from Linkedin2username because it automates the messiest part of username enumeration, turning a company's public LinkedIn roster into attack-ready lists in seconds. The tool's 1,642 GitHub stars and zero friction deployment (free, no auth required) make it the fastest way to build realistic credential lists for phishing simulations without writing custom scrapers. Skip this if your scope is broader than social engineering testing; it does one thing and ignores everything else upstream like email validation or domain correlation.