similar sites

Browse

AI Report Tools

Sites similar to dorkradar.com

Dorkradar alternatives & similar sites

DorkRadar - Automated Dorking for Ethical Hackers. — 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
yournetworkismynetwork.com ↗	70 match 1 shared topics	YNiMN \| Ethical Hacking - Home	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
citadelo.net ↗	68 match 1 shared topics	Citadelo \| Ethical Hackers on Your Side	en	information-and-network-security	robotsllmsaihumans	emailphone	none
citadelo.org ↗	68 match 1 shared topics	Citadelo \| Ethical Hackers on Your Side	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	68 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xprial.com ↗	68 match 1 shared topics	Prial Islam - Ethical Hacker \| Cyber Security Researcher	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
iamcurthayman.com ↗	67 match 1 shared topics	Curt Hayman, CEH \| Penetration Tester & Ethical Hacker Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3gisecure.com.pe ↗	67 match 1 shared topics	3G ISecure \| Ethical Hacking y Ciberseguridad	en	information-and-network-security	robotsllmsaihumans	emailphone	none
strategictechies.net ↗	66 match 1 shared topics	Strategic Techies \| Cybersecurity & Ethical Hacking Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryoversecureding.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredhq.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredtry.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredso.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredpro.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredorg.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecurednow.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredly.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredit.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredish.com ↗	66 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	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.