GCD AI RADAR
incidents/AIR-2023-0078

CVE-2023-6730: Deserialization vulnerability in Hugging Face transformers

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilitySupply chain

A critical insecure deserialization vulnerability exists in the Hugging Face transformers library prior to version 4.36.0. The flaw could enable arbitrary code execution if exploited.

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
incident date
19 Dec 2023
first reported
19 Dec 2023
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-2023-6730 · deserialization
record
created 2026-10-18 07:00Z · updated 2026-10-18 07:00Z · json

Sources · 1

  1. 2023-12-19
    CVE-2023-6730: transformers has a Deserialization of Untrusted Data vulnerability
    GitHub Advisory Database · github.com/advisories/GHSA-3863-2447-669p

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