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Sites similar to severitylabs.com

Severitylabs alternatives & similar sites

Independent vulnerability triage for any bug bounty program — 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
jamasecurity.com ↗	68 match 2 shared topics	JAMA - Bug Bounty Platform	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	67 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
webarxsecurity.com ↗	66 match 2 shared topics	Fastest protection for WordPress security vulnerabilities - Patchstack	Estonia~ en	information-and-network-security WooCommerce	robots llmsaihumans	emailphone	full · 13
agentsteal.com ↗	65 match 2 shared topics	AGENT STΞΛL - Hacking Mobile & Web apps, Bug Bounty Hunter's Life	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gabrielreissantos.com ↗	63 match 2 shared topics	GabrielsMind \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xhacked.com ↗	63 match 2 shared topics	0xHacked \| a trustless post-audit security protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
javacardforum.com ↗	63 match 2 shared topics	Java Card Forum \| The Java Card Forum is an industry association of companies from the smart card, secure operating system and secure silicon industry, working together to promote and develop Java as the preferred programming language for multi-application smart cards, secure devices and other execu	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jasonachkardiab.com ↗	63 match 2 shared topics	Cybersecurity Portfolio \| Full-Stack Developer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0xsabre.tech ↗	63 match 2 shared topics	Security Researcher - I'm 0xsabre — pentester, vulnerability researcher, and occasional CVE contributor. This is where I write about breaking things responsibly.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ozarksecuritylabs.com ↗	63 match 2 shared topics	Ozark Security Labs - Open-source product security tooling	en	information-and-network-security	robotsllmsaihumans	emailphone	none
satsforcompute.com ↗	63 match 2 shared topics	Sats for Compute — pay sats, get attested compute	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adversity.dev ↗	63 match 2 shared topics	Adversity — Design for the day of adversity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dhyeysanghvi.com ↗	63 match 2 shared topics	Dhyey Sanghvi \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
web3identity.com ↗	63 match 2 shared topics	Web3 Identity API \| 1708 Endpoints for ENS, Farcaster, Lens \| web3identity.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aarlyxx.com ↗	63 match 2 shared topics	gitlogy — Git-native automation. Security built in.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threepartyproblem.com ↗	63 match 2 shared topics	The Three Party Problem	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ganofins.com ↗	63 match 2 shared topics	Ganesh Bagaria	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdeadbeef.info ↗	62 match 2 shared topics	0xdeadbeef dot info \| raptor's labs	en	information-and-network-security WordPress	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.