GCD AI RADAR
incidents/AIR-2025-0519

Hugging Face Transformers Megatron GPT2 Deserialization RCE

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilitySupply chain

An unpatched remote code execution vulnerability exists in Hugging Face Transformers due to unsafe deserialization of model checkpoints. Attackers can exploit the lack of validation when users process malicious files or pages.

disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Infrastructure vulnerabilityprimary
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
  • Supply chain
    Malicious or backdoored models, poisoned packages, unsafe deserialization and other compromised AI dependencies.
owasp llm top 10
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
2 · Disclosed vulnerability
CVE or vendor advisory, patched or patchable, no confirmed exploitation.
targets
Framework / tooling
products
Transformers, megatron_gpt2
incident date
23 Dec 2025
first reported
23 Dec 2025
origin
NVD
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
CVE-2025-14924 · rce · deserialization
record
created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json

Sources · 1

  1. 2025-12-23
    CVE-2025-14924: Hugging Face Transformers megatron_gpt2 Deserialization of Untrusted Data Remote Code Execution Vulnerability.
    NVD · nvd.nist.gov/vuln/detail/CVE-2025-14924

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