HighVulnerability

CVE-2025-71372: Picklescan fails to detect numpy f2py gadget in pickle reduce methods

Source: NVD(opens in a new tab)
Identifier: CVE-2025-71372
Published: July 3, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.5%

Summary

CVE-2025-71372 affects Picklescan before 0.0.33. The scanner fails to detect the numpy.f2py.crackfortran.getlincoef gadget in pickle __reduce__ methods, so crafted pickle files that execute arbitrary Python code when loaded pass its safety checks. The flaw enables supply-chain poisoning of shared model files. VulnCheck rates it CVSS 4.0 7.6 (HIGH), and NVD has not yet provided an assessment.

Mitigation

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

Details

Scores and exploitation

CVSS score: 8.1(high)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N
Attack vector: network
Attack complexity: low
Privileges required: none
User interaction: required
EPSS: 0.5%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on October 14, 2026.
Disclosure date: July 3, 2026

Weaknesses and techniques

Weakness (CWE): CWE-502
Attack pattern (CAPEC): CAPEC-586
AI threat technique (MITRE ATLAS): AML.T0010

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: Model
Impact: Confidentiality,
Integrity
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-2025-71372

First tracked: July 4, 2026 at 08:07 AM 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

Related items