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Exploitpedia alternatives & similar sites

The ultimate knowledge base for exploits | ExploitPedia — 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
cryptoresearch.com ↗	66 match 2 shared topics	Zero-knowledge Proofs \| Cryptographic Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
latesthackingnews.com ↗	66 match 2 shared topics	Latest Hacking News \| Cyber Security News, Hacking Tools and Penetration Testing Courses - LHN offers the latest hacking news, penetration testing tools and cyber security courses for ethical hackers, penetration testers, IT security experts and essentially anyone interested in the cyber security wo	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cryptoxploits.com ↗	64 match 2 shared topics	cryptoxploits – CryptoXploits-Home of crypto recovery	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
heroicpanda.com ↗	64 match 2 shared topics	Security for the Rest of Us \| Nathan Walker \| Substack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1io.com ↗	63 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
confect1on.com ↗	63 match 2 shared topics	Kara - Red Team Consultant & Security Researcher	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladvlaicu.com ↗	63 match 2 shared topics	Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpblog.dev ↗	63 match 2 shared topics	MCPBlog.dev — The MCP Ecosystem Blog	en	information-and-network-security	robots llmsaihumans	emailphone	none
ethanhulse.com ↗	63 match 2 shared topics	The Codex	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xdeadbeef.info ↗	63 match 2 shared topics	0xdeadbeef dot info \| raptor's labs	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kosmonel.com ↗	63 match 2 shared topics	Kosmonel - Security Simplified	en	information-and-network-security	robotsllmsaihumans	emailphone	none
containerscanning.com ↗	63 match 2 shared topics	Container Scanning \| The Definitive Resource for Container Image Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vmcyberx.com ↗	63 match 2 shared topics	Expert Insights on Technology and Cyber Security \| VMCYBER-X	en	technology-and-computing	robotsllmsaihumans	emailphone	none
poodlebleed.com ↗	63 match 2 shared topics	PoodleBleed.com - Technology Research and Publishing	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mcppedia.org ↗	63 match 2 shared topics	MCPpedia — Find the Right MCP Server	en	information-and-network-security	robots llmsaihumans	emailphone	none
crysec.dev ↗	63 match 2 shared topics	3553x’s Blog About Cryptography, Security and Other Things \| crysec.dev	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xrama.com ↗	63 match 2 shared topics	Sriram Kidambi	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xacb.com ↗	63 match 2 shared topics	0xacb	en	information-and-network-security	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.