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Py Sec alternatives & similar sites

Py-Sec[dot]org – Promoting Curiosity for Lifelong Learning — 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
jerrygamblin.com ↗	69 match 2 shared topics	JerryGamblin.com – Curiosity in Practice	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
0xhabib.tech ↗	66 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
quicksand.tech ↗	64 match 2 shared topics	Quicksand Tech – learning and sharing in infosec	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
breachplot.com ↗	64 match 2 shared topics	BreachPlot.com - Master Security Through Visual Learning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
qnews.io ↗	64 match 2 shared topics	Qnews.io - Quantum Security and Computing news	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bloggingforlogging.com ↗	64 match 2 shared topics	Blogging for Logging – My thoughts logged into blog form	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
breachthesecurity.com ↗	63 match 2 shared topics	Breach the Security - Learn Ethical Hacking	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
pwning.tech ↗	63 match 2 shared topics	Pwning Tech - Learn to pwn modern tech	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
guideet.com ↗	63 match 2 shared topics	Guideet.com \| Ultimate Guide to Learning and Exploring	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
blogospherecentral.com ↗	63 match 2 shared topics	Blogosphere Central – My Cybersecurity Hub	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bluebadgerlabs.tech ↗	63 match 2 shared topics	BlueBadger Labs – Security Lab & Detection Projects	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
thehackerwire.com ↗	62 match 2 shared topics	TheHackerWire – Cybersecurity News, Tools, Insights, and Analysis	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
tryvibio.com ↗	62 match 2 shared topics	Vibio — Find Security & Vulnerability Issues in Your App for Production Readiness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pwnit.io ↗	62 match 2 shared topics	PWNIT.IO - Cyber Security Blog	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jesusoseguera.dev ↗	62 match 2 shared topics	Jesus Oseguera - Personal website and portfolio showcasing cybersecurity projects, blog posts, and professional experience	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0-x.dev ↗	62 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xlibris.net ↗	62 match 2 shared topics	0xlibris Blog – 0xlibris	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0defect.com ↗	62 match 2 shared topics	0Defect - Smart Contract Auditing Services \| ETH , BSC, SOL, MATIC, NFT	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.