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Sqatesting alternatives & similar sites

SQA Testing — 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
battletester.app ↗	67 match 2 shared topics	BattleTester - Automated Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
oneroxe.com ↗	66 match 2 shared topics	ONEROXE — Offensive Security Services & Security Testing Tools	India~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
0xmuzamil.dev ↗	65 match 2 shared topics	0xMuzamil	en	technology-and-computing	robotsllmsaihumans	emailphone	none
eshard.io ↗	65 match 2 shared topics	eShard \| Security investigations for critical missions	en	information-and-network-security X-Cart	robotsllmsaihumans	emailphone	none
eshard.org ↗	65 match 2 shared topics	eShard \| Security investigations for critical missions	en	information-and-network-security X-Cart	robotsllmsaihumans	emailphone	none
eshard.net ↗	65 match 2 shared topics	eShard \| Security investigations for critical missions	en	information-and-network-security X-Cart	robotsllmsaihumans	emailphone	none
blueteamsecurity.co.uk ↗	64 match 2 shared topics	IT on the Couch - Talking everything Information Security, from Penetration Testing, System Hardening to Information Assurance.	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
daspsec.com ↗	64 match 2 shared topics	daspsec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spysecurities.com ↗	64 match 2 shared topics	SpySecurities \| Premium Cybersecurity Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omenbyte.com ↗	64 match 2 shared topics	OmenByte - Security Researcher & Full Stack Developer \| Cybersecurity Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digi.ninja ↗	64 match 2 shared topics	DigiNinja - DigiNinja	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eskme.net ↗	64 match 2 shared topics	ESKme ∴ Ethical.Shift.Keeper.//me	en	information-and-network-security	robotsllmsaihumans	emailphone	none
brycesec.com ↗	64 match 2 shared topics	NexusCrypt - Trusted Pentest Partner	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
battlewithbytes.io ↗	64 match 2 shared topics	Battle With Bytes \| Cybersecurity, Embedded Hardware & Software Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csanchez.dev ↗	64 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	64 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datasofthub.com ↗	63 match 2 shared topics	Secure Blockchain \| Blockchain Technology, Decentralization & Security Blog \| Secure Blockchain	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mediamosa.org ↗	63 match 2 shared topics	Choose the Right Load Simulation Stresser for Peak Performance 🚀	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 2

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.