HighVulnerability

CVE-2025-14924: Hugging Face Transformers megatron_gpt2 deserialization flaw

Source: NVD(opens in a new tab)
Identifier: CVE-2025-14924
Published: December 23, 2025
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.3%

Summary

CVE-2025-14924 is a deserialization of untrusted data flaw in the parsing of checkpoints in Hugging Face Transformers, in the megatron_gpt2 component. A remote attacker can execute arbitrary code in the context of the current process on affected installations, provided the target visits a malicious page or opens a malicious file. The issue stems from missing validation of user-supplied data. It was reported as ZDI-CAN-27984.

Mitigation

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

Details

Scores and exploitation

EPSS: 0.3%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-502
Attack pattern (CAPEC): CAPEC-586
AI threat technique (MITRE ATLAS): AML.T0010

Affected

Vendors: HuggingFace

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality,
Integrity,
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-2025-14924

First tracked: February 15, 2026 at 08:46 PM ET, from NVD/CVE Database

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

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

Related items