Metrics
Affected Vendors & Products
| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-grg2-63fw-f2qr | vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions |
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
Mon, 12 Jan 2026 14:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Vllm-project
Vllm-project vllm |
|
| Vendors & Products |
Vllm-project
Vllm-project vllm |
Mon, 12 Jan 2026 14:15:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
|
Sat, 10 Jan 2026 12:15:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| References |
| |
| Metrics |
threat_severity
|
threat_severity
|
Sat, 10 Jan 2026 06:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | 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. | |
| Title | vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions | |
| Weaknesses | CWE-770 | |
| References |
| |
| Metrics |
cvssV3_1
|
Projects
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Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-01-12T13:22:52.666Z
Reserved: 2026-01-09T18:27:19.387Z
Link: CVE-2026-22773
Updated: 2026-01-12T13:22:49.721Z
Status : Awaiting Analysis
Published: 2026-01-10T07:16:03.527
Modified: 2026-01-13T14:03:18.990
Link: CVE-2026-22773
OpenCVE Enrichment
Updated: 2026-01-12T14:36:26Z
Github GHSA