GCD AI RADAR
incidents/AIR-2025-0308

Hugging Face Transformers vulnerable to ReDoS in get_imports

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability

A ReDoS vulnerability in Hugging Face Transformers allows excessive CPU consumption via crafted inputs in dynamic module utils. The issue was addressed in version 4.51.0.

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
7 Jul 2025
first reported
7 Jul 2025
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-2025-3264 · redos · denial-of-service
record
created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json

Sources · 2

  1. 2025-07-07
    CVE-2025-3264: Transformers vulnerable to ReDoS attack through its get_imports() function
    GitHub Advisory Database · github.com/advisories/GHSA-jjph-296x-mrcr
  2. 2025-07-07
    CVE-2025-3264: A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library,…
    NVD · nvd.nist.gov/vuln/detail/CVE-2025-3264

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