BBOT vs Raccoon
GitHub Stats
About BBOT
BBOT (Bighuge BLS OSINT Tool) is a recursive internet scanner built for automated reconnaissance, bug bounty hunting, and attack surface management. Unlike linear scanners that enumerate a fixed target list, BBOT discovers new targets as it scans — finding a subdomain triggers port scanning, which triggers web crawling, which discovers new subdomains, creating a recursive discovery loop. It ships with over 100 modules covering DNS enumeration, port scanning, web crawling, technology fingerprinting, secret detection, and vulnerability scanning. BBOT integrates natively with tools like Nuclei, httpx, and subfinder, and outputs to JSON, CSV, Neo4j, and its own web UI. Configuration is YAML-based with per-scan presets for different engagement types. With nearly 10,000 GitHub stars, it has become a serious contender to SpiderFoot and Amass for automated recon pipelines.
About Raccoon
Raccoon is a high-performance offensive security tool written in Python that automates the reconnaissance and vulnerability scanning phases of penetration testing engagements. It performs DNS enumeration, WHOIS lookups, subdomain discovery, WAF detection, directory brute-forcing, and Nmap scanning in a single coordinated workflow, correlating results into a structured output. Penetration testers and bug bounty hunters use Raccoon to rapidly gather comprehensive intelligence about a target without manually running and correlating output from dozens of individual tools. Its threaded architecture and intelligent scheduling prioritize the most informative scans first, making it particularly effective for time-constrained assessments where operators need maximum reconnaissance coverage with minimal setup.
Platform Support
Tags
Shared
BBOT only
Raccoon only