CriticalVulnerability

CVE-2025-1945: picklescan flaw lets malicious pickles hide in PyTorch model ZIP archives

Source: NVD(opens in a new tab)
Identifier: CVE-2025-1945
Published: March 10, 2025
Record updated: October 9, 2026

Affected: picklescan < 0.0.23
Fixed in: 0.0.23
released March 9, 2025, 1 day before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.6%

Summary

picklescan before 0.0.23 fails to detect malicious pickle files embedded in PyTorch model archives when specific ZIP header flag bits are flipped. Such a file still loads through torch.load(), which can lead to arbitrary code execution when a compromised model is loaded. The source gives a Sonatype CVSS 4.0 score of 5.3 (MEDIUM) and CWE-345, while NIST's assessment is not yet provided.

Mitigation

The source links a fix commit (github.com/mmaitre314/picklescan/commit/e58e45e0d9e091159c1554f9b04828bbb40b9781) and advisory GHSA-w8jq-xcqf-f792, and the title indicates the issue is fixed in picklescan 0.0.23 or later.

Details

Scores and exploitation

CVSS score: 9.8(critical)
Patch available: Yes
EPSS: 0.6%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-345
AI threat technique (MITRE ATLAS): AML.T0010

Affected

Packages: picklescan@< 0.0.23 (fixed: 0.0.23)

Classification

Attack type: Supply chain,
Model poisoning
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Integrity,
Confidentiality,
Availability
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-2025-1945

First tracked: February 15, 2026 at 08:37 PM ET, from NVD/CVE Database

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

Classifier confidence: 90% (self-assessed)

Topics

Model and package supply chain

Summary

Mitigation

Topics

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