CVE-2025-14924: Hugging Face Transformers megatron_gpt2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vuln
Summary
A vulnerability in Hugging Face Transformers (a popular library for working with AI language models) allows attackers to run arbitrary code on a computer by tricking users into opening malicious files or visiting malicious websites. The flaw occurs because the software doesn't properly check data when loading saved model checkpoints (files that store a model's learned parameters), which lets attackers execute code by sending untrusted data through deserialization (the process of converting stored data back into usable objects).
Vulnerability Details
EPSS: 0.3%
Classification
Affected Vendors
Related Issues
Original source: https://nvd.nist.gov/vuln/detail/CVE-2025-14924
First tracked: February 15, 2026 at 08:46 PM
Classified by LLM (prompt v3) · confidence: 95%