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Sites similar to serhack.me

Serhack alternatives & similar sites

SerHack – Security Researcher and Writer — 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
adnanthekhan.com ↗	73 match 2 shared topics	Adnan Khan - Security Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	72 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
bohops.com ↗	72 match 2 shared topics	bohops – A blog about cybersecurity research, education, and news	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jasstej.tech ↗	70 match 2 shared topics	Jasstej Singh - Cybersecurity Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
3ziz.me ↗	70 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
jasonachkardiab.com ↗	70 match 2 shared topics	Cybersecurity Portfolio \| Full-Stack Developer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thewandman.com ↗	69 match 2 shared topics	The WandMan – Revolving around Security and Technology	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jask.dev ↗	69 match 2 shared topics	Jask \| Lead Researcher & Builder	en	technology-and-computing Spree Commerce	robots llmsaihumans	emailphone	none
threatmine.io ↗	69 match 2 shared topics	threatmine.io – Cyber Threat Intel \| Security Research \| Data Science	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
decoder.cloud ↗	69 match 2 shared topics	Decoder's Blog – IT Security Tips and Tricks	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
javiertech.net ↗	69 match 2 shared topics	Javiertech – Cybersecurity and tech stuff	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jakeotte.com ↗	68 match 2 shared topics	Jake Otte – Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dillonfranke.com ↗	68 match 2 shared topics	Dillon Franke Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
threat-x.com ↗	68 match 2 shared topics	Visionary API and Application Security - ThreatX	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threatx.com ↗	68 match 2 shared topics	Visionary API and Application Security - ThreatX	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threatxlabs.com ↗	68 match 2 shared topics	Visionary API and Application Security - ThreatX	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoinheritance.org ↗	68 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cypherbunker.com ↗	68 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	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.