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.
Sentinel is FlagThis's own prototype for catching package-squatting and "slopsquatting" — packages published on PyPI or npm under names that AI coding assistants are statistically likely to hallucinate and hand to developers as a real dependency. It watches new package publishes and scores each one automatically, so a suspicious registration can surface before it accumulates real install volume.
Live monitoring is already on: every new package published to PyPI or npm gets scored as it comes in, so the newest, highest-risk registrations — the ones this tool is actually built to catch early — are covered from day one. What's still catching up is the historical backlog: Sentinel is working through older, already-published packages to backfill scores for them, so a package's absence from the results right now can mean either "not suspicious" or "not backfilled yet," not "cleared." That backlog will keep shrinking; it doesn't affect coverage of anything published going forward.
Sentinel's verdicts are automated, unconfirmed signals, not adjudicated findings. A flagged package can be a false positive, or the account behind it can be compromised rather than malicious. Its coverage is intentionally narrow — a small set of heuristics across two registries, not a comprehensive detector — and every score exists to surface a candidate worth a human's attention, not to accuse anyone.
Modern LLMs hallucinate package and domain names deterministically, not randomly — the same model hands thousands of different developers the exact same fabricated recommendation. In one academic benchmark, 43% of hallucinated package names repeated across every one of ten identical prompt runs, and Palo Alto Networks' Unit 42 found real adversaries typically take 18 to 51 days to notice a persistent hallucination and register it. Sentinel is a narrow attempt to shrink that window from the defender's side: flag suspicious registrations early, rather than waiting to find one already sitting in a compromised dependency tree.
For the mechanics behind why these hallucinations happen, real campaigns that have already exploited it, and a full defensive playbook, see FlagThis's research post:
Phantom Squatting: Weaponizing AI Hallucinations for Zero-Recon Supply Chain Attacks →