Advisory record · GHSA-78cp-f66x-qmh5

Snorkel Trainer.load uses an unsafe torch.load

CVSS 8.8 HighEPSS 0.0039 · 33rd percentile

Published by the GitHub Advisory Database at 12 May 2026, 18:30 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

PackageEcosystemAffectedFixed in
snorkelPyPI<=0.10.0No fixed version yet
Identifiers
GHSA-78cp-f66x-qmh5 · CVE-2026-31222 · PYSEC-2026-3068
Weakness (CWE)
CWE-502
Published
12 May 2026
Updated
13 Jul 2026

Machine-written summary

Summary written by Claude Haiku from the source advisory. Not reviewed by a person.

Snorkel versions up to and including 0.10.0 are affected. The Trainer.load() method loads checkpoint files with torch.load() without weights_only=True, so a crafted model file can run arbitrary code when loaded. An attacker would need to supply that file to a victim who loads it through this method. No fix is listed.

Written 6 Nov 2026.

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

ScoreRatingCVSSVectorSource
8.8 High 3.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H GitHub Advisory Database
  • CISA KEV Not listed.
  • EPSS 0.0039, the 33rd percentile, on 11 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

  1. 31 Oct 2026, 15:01 UTC First seen by agentprime
  2. 31 Oct 2026, 15:01 UTC Confirmed by OSV

Sources

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.