You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Silica-X is an extensible OSINT and digital footprint intelligence framework built in Python. It enables cross-platform identity discovery, domain and infrastructure reconnaissance, signal fusion, entity correlation, and exposure risk analysis across 70+ online platforms.
Static is a lightweight, dependency-free typosquatting reconnaissance tool written in pure Python. It generates common typo variations of a target domain and checks them using DNS and HTTP/HTTPS heuristics to identify potentially available domains and redirect behavior.
GhostPeek is a stealthy domain reconnaissance tool that silently collects intelligence on web domains. It discovers subdomains, uncovers WHOIS information, maps DNS records, identifies technologies, and captures screenshots—all while generating comprehensive reports Like a ghost, it reveals hidden digital footprints without drawing attention.
Domain Grabber — A Python CLI tool to fetch unique root domains from Archive.org CDX API based on given domain extensions (e.g., .id, .co.id, .ac.id). Supports multiple extensions, progress tracking, retry with User-Agent rotation, and automatic result saving. Ideal for OSINT, domain research, and penetration testing reconnaissance.
a professional domain intelligence and reconnaissance tool for gathering WHOIS, RDAP, DNS, and IP/ASN information. Optional Tor support provides privacy while performing network queries. Designed for cybersecurity professionals and enthusiasts to explore domains securely and efficiently.
dns-lookup is a simple Python tool for performing DNS lookups and WHOIS queries directly from the terminal. It features an interactive command-line menu and supports retrieval of various DNS records as well as domain WHOIS information. Designed for educational, testing, and legal use cases, the tool is easy to install and use, requiring only Python