Automated package-squatting & slopsquatting detection signals across PyPI and npm — these are automated, unconfirmed signals. Use them to find candidates to investigate, but don't automatically assume they're malicious.

Sorted by risk score. Filter with email:, domain:, keyword:, or version: (comma = OR within a field, space = AND across fields), age:<6h / age:>90d for how recently a package was published (combine both for a range, e.g. age:>1h age:<6h), or a bare word for a package-name search. Click a package to see the signals behind its score before opening its registry page.

Package Score Age Users Lines Growth Verdict Targeted Ecosystem Version Author Email domain Signals
160 107d 5,119 55,583 ↑47.8/day MALICIOUS llama pypi 10605.0.0 vladlearns@gmail.com gmail.com
Claimed homepage: https://pypi.org/project/llama-cpp-bin/
Matched naming pattern: llama-llama-bin
Official vendor account: No — publisher domain doesn't match the brand it names
Days since publish: 107
Code-only verdict: BENIGN_COMMUNITY (the score above also weighs naming and publisher-domain signals, not just the code itself)
Registry downloads: 5119/month, 1261/week (ACTIVE_COMMUNITY_USE)
Codebase size: 55583 lines, 3.0 MB across 219 files (LARGE_CODEBASE)
Automated signals flagged:
  • MEDIUMPackage name 'llama-cpp-bin' matches AI hallucination template [llama] + [llama] + [bin].
  • HIGHClaims critical enterprise brand identity ('LLAMA').
  • HIGHPublisher email 'vladlearns@gmail.com' is not affiliated with official vendor domain.
  • MEDIUMPackage published 187 versions in rapid succession (< 24h) to mimic mature open source maintenance.
  • HIGHPackage registered recently (106 days ago) during the active AI hallucination slopsquatting wave.
  • CRITICALPackage registered with suspiciously high major version (v10605.0.0, major 10605) despite recent registration (106 days ago, 187 release(s)), indicating potential dependency confusion attack to shadow internal organization builds.
  • INFONo malicious install-time hooks or shell cradles detected in package AST.
  • INFOSubstantial functional codebase (55583 LOC across 219 file(s)).

Signals reflect what our detector observed, not a confirmed determination of wrongdoing.

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