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Hack This Site — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
kali.org ↗	85 match shared topic	Kali Linux \| Penetration Testing and Ethical Hacking Linux Distribution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defcon.org ↗	85 match shared topic	DEF CON® Hacking Conference Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
insecure.org ↗	85 match shared topic	Insecure.Org - Nmap Free Security Scanner, Tools & Hacking resources	en	information-and-network-security	robotsllmsaihumans	emailphone	none
h1.community ↗	85 match shared topic	H1 \| HackerOne Community	en	information-and-network-security	robots llmsaihumans	emailphone	none
exploit-db.com ↗	85 match shared topic	Exploit Database - Exploits for Penetration Testers, Researchers, and Ethical Hackers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
huntress.com ↗	85 match shared topic	Huntress Managed Security Platform: Wrecking Hackers 24/7 \| Huntress	en	information-and-network-security	robots llmsaihumans	emailphone	none
vanishingpointsecurity.com ↗	85 match shared topic	VanishingPoint - Make Yourself Invisible to Hackers & Surveillance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hackint.org ↗	85 match shared topic	hackint - Welcome to hackint!	en	information-and-network-security	robotsllmsaihumans	emailphone	none
disconnect.me ↗	85 match shared topic	Disconnect - Tracking Leads to Hacking	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pentesterlab.com ↗	85 match shared topic	Advanced Web Hacking and Security Code Review Training \| PentesterLab	en	information-and-network-security	robots llmsaihumans	emailphone	none
hackervalley.com ↗	85 match shared topic	Hacker Valley Media \| Cybersecurity Podcasts & Creative Agency	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackers.blue ↗	85 match shared topic	Anthony Kava: hacker, speaker, cyber crime, infosec, digital forensics \| Tony Kava \| karver	en	information-and-network-security	robotsllmsaihumans	emailphone	none
impostor.domains ↗	85 match shared topic	Anthony Kava: hacker, speaker, cyber crime, infosec, digital forensics \| Tony Kava \| karver	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackerone.com ↗	58 match shared topic	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hackthebox.com ↗	58 match shared topic	Cyber Mastery: Community Inspired. Enterprise Trusted. \| Hack The Box	en	artificial-intelligence HubSpot	robots llmsaihumans	emailphone	partial · 8
thehackernews.com ↗	58 match shared topic	The Hacker News \| #1 Trusted Source for Cybersecurity News	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dmca.com ↗	55 match shared topic	Content Protection and Takedown Company Since 2006 \| DMCA.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackthebox.eu ↗	58 match shared topic	Cyber Mastery: Community Inspired. Enterprise Trusted. \| Hack The Box	European Union en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.