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Stack Graveyard - npm & Python Dependency Risk Intelligence — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
haltingproblems.com 67 match
2 shared topics
Halting Problems — Software Supply Chain Threat Intelligence en information-and-network-security robotsllmsaihumans emailphone none
kevintel.com 66 match
2 shared topics
KEVIntel — Real-Time Exploited Vulnerability Intelligence en information-and-network-security robotsllmsaihumans emailphone none
spyonweb.net 65 match
2 shared topics
SpyOnWeb — Domain Intelligence & Reverse Lookup Tool en information-and-network-security robotsllmsaihumans emailphone partial · 8
0daysec.xyz 65 match
2 shared topics
Zer0day Sec | Web3 Security Intelligence & Audits en information-and-network-security robotsllmsaihumans emailphone none
cultofintellect.com 64 match
2 shared topics
Cult of Intellect en technology-and-computing robotsllmsaihumans emailphone none
zrouga.com 64 match
2 shared topics
Mohamed Zrouga — Platform Engineer & Python/Go Developer | London, UK United Kingdom~ en information-and-network-security robotsllmsaihumans emailphone partial · 8
stackshield.io 64 match
2 shared topics
Laravel Security Monitoring & Vulnerability Scanner | StackShield en information-and-network-security robotsllmsaihumans emailphone partial · 7
miketolkachev.dev 63 match
2 shared topics
Firmware Risk Check — Mike Tolkachev en information-and-network-security robotsllmsaihumans emailphone none
misp-standard.org 63 match
2 shared topics
MISP Standard - MISP Standard en information-and-network-security robotsllmsaihumans emailphone none
hackerthoughts.com 63 match
2 shared topics
Hacker Thoughts | Substack en technology-and-computing robotsllmsaihumans emailphone none
acquireaudit.xyz 62 match
2 shared topics
gitcense | Technical Due Diligence For SaaS Acquisitions en technology-and-computing robotsllmsaihumans emailphone none
lyfe.ninja 62 match
2 shared topics
BlkSeal | Content Integrity & Verification Platform | lyfe.ninja en information-and-network-security robotsllmsaihumans emailphone none
0xrajkumar.com 62 match
2 shared topics
Rajkumar | Substack en technology-and-computing robotsllmsaihumans emailphone none
defendersinitiative.com 62 match
2 shared topics
The Defender's Initiative | Adrian Sanabria | Substack en technology-and-computing robotsllmsaihumans emailphone none
gitcense.com 62 match
2 shared topics
gitcense | Technical Due Diligence For SaaS Acquisitions en technology-and-computing robotsllmsaihumans emailphone none
0xkannan.ninja 62 match
2 shared topics
Kannan K | Security Engineer & Full-Stack Builder en information-and-network-security robotsllmsaihumans emailphone none
7minsec.club 62 match
2 shared topics
7 Minute Security's Substack | Brian Johnson | Substack en information-and-network-security robotsllmsaihumans emailphone none
sscv-framework.org 62 match
2 shared topics
SSCV Framework - Contextual Vulnerability Risk Scoring | System Security Context Vector 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:

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.