The OWASP Amass Project performs network mapping of attack surfaces and external asset discovery using open source information gathering and active reconnaissance techniques. Information Gathering Techniques Used: Technique Data Sources APIs 360PassiveDNS, Ahrefs, AnubisDB, BeVigil, BinaryEdge, BufferOver, BuiltWith, C99, Chaos, CIRCL, DNSDB, DNSRepo, Deepinfo, Detectify, FOFA, FullHunt, GitHub, GitLab, GrepApp, Greynoise, HackerTarget, Hunter, IntelX, LeakIX, Maltiverse, Mnemonic, Netlas, Pastebin, PassiveTotal, PentestTools, Pulsedive, Quake, SOCRadar, Searchcode, Shodan, Spamhaus, Sublist3rAPI, SubdomainCenter, ThreatBook, ThreatMiner, URLScan, VirusTotal, Yandex, ZETAlytics, ZoomEye Certificates Active pulls (optional), Censys, CertCentral, CertSpotter, Crtsh, Digitorus, FacebookCT DNS Brute forcing, Reverse DNS sweeping, NSEC zone walking, Zone transfers, FQDN alterations/permutations, FQDN Similarity-based Guessing Routing ASNLookup, BGPTools, BGPView, BigDataCloud, IPdata, IPinfo, RADb, Robtex, ShadowServer, TeamCymru Scraping AbuseIPDB, Ask, Baidu, Bing, CSP Header, DNSDumpster, DNSHistory, DNSSpy, DuckDuckGo, Gists, Google, HackerOne, HyperStat, PKey, RapidDNS
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Using Apache mod_rewrite rules to rewrite incident responder or security appliance requests to an innocuous website or the target's real website.
A Python script for creating a cohesive and up-to-date penetration testing framework.
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