CVE-2026-22773CWE-770

vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

Medium · published January 10, 2026

CVSS v3.1
6.5
EPSS
0%
Percentile
37.4
In the wild
Unconfirmed
What it is

vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. This issue has been patched in version 0.12.0.

The record
Technical detail
CVSS v3.1
6.5 · MEDIUM
Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS v4.0
Not supplied
EPSS
0.00442 · 37.4th percentile
Weakness
CWE-770 · Allocation of Resources Without Limits or Throttling
Published
2026-01-10T06:39Z
EPSS history
Timeline
  • 10 JAN 06:39Z
    vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions
    cvelistv5