GCD AI RADAR
incidents/AIR-2024-0203

CVE-2024-11393: Deserialization vulnerability in Hugging Face Transformers

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability

Hugging Face Transformers has a deserialization vulnerability within MaskFormer model file parsing. The flaw allows remote code execution if a target opens a malicious file.

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 vulnerability
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
owasp llm top 10
mitre atlas
no technique for these categories
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
incident date
23 Nov 2024
first reported
22 Nov 2024
origin
GitHub Advisory Database
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-2024-11393 · deserialization · rce
record
created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json

Sources · 2

  1. 2024-11-22
    CVE-2024-11393: Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability.
    NVD · nvd.nist.gov/vuln/detail/CVE-2024-11393
  2. 2024-11-23
    CVE-2024-11393: Deserialization of Untrusted Data in Hugging Face Transformers
    GitHub Advisory Database · github.com/advisories/GHSA-wrfc-pvp9-mr9g

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