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Owasp alternatives & similar sites

OWASP Foundation, the Open Source Foundation for Application Security | OWASP Foundation — 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
0xprasanna.com ↗	70 match 1 shared topics	Prasanna \| Application Security Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
boostsecurity.io ↗	69 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shteinsolutions.com ↗	68 match 1 shared topics	Shtein Solutions \| Information security services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
algorithimdistribution.com ↗	68 match 1 shared topics	The trusted source for open source \| Chainguard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0block.org ↗	67 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alexwalcott.dev ↗	67 match 1 shared topics	Alex Walcott \| Information Security Portfolio	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexraylabs.com ↗	67 match 1 shared topics	Hexray Labs - Open-Source Cybersecurity Tools for Pentesters & Red Teams	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
montyfunk.com ↗	67 match 1 shared topics	Audio & Video Production for Cyber Security \| Monty Funk	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
1span.net ↗	67 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1span.org ↗	67 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.net ↗	67 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.org ↗	67 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.com ↗	67 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
digitalsecurity.ca ↗	67 match 1 shared topics	Security Communication Automation \| Commercial Digital Security	Canada en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
layer9.co ↗	67 match 1 shared topics	Layer 9 Information Security	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mediaguard.ong ↗	67 match 1 shared topics	Programs \| P Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mcpfw.dev ↗	67 match 1 shared topics	mcpfw — The open-source firewall for MCP	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
davehaertel.co ↗	67 match 1 shared topics	Dave Haertel · Senior Information Security Analyst	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.