HighVulnerability

CVE-2026-31222: snorkel Trainer.load() insecure deserialization of model checkpoint files

Source: NVD(opens in a new tab)
Identifier: CVE-2026-31222
Published: May 12, 2026
Record updated: October 9, 2026

Affected: snorkel <= 0.10.0
Fixed in: No fixed version was stated when the source was last read.
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.7%

Summary

CVE-2026-31222 affects the snorkel library through v0.10.0, where the Trainer.load() method in the Trainer class loads checkpoint files with torch.load() without setting weights_only=True. Because this leaves Pickle deserialization of arbitrary Python objects enabled, an attacker who supplies a maliciously crafted model file can achieve arbitrary code execution on the victim's system when the file is loaded.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

EPSS: 0.7%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on October 11, 2026.
Disclosure date: May 12, 2026

Weaknesses and techniques

AI threat technique (MITRE ATLAS): AML.T0010

Affected

Packages: snorkel@<= 0.10.0

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Integrity,
Availability,
Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-31222

First tracked: May 12, 2026 at 02:07 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

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