How severe is CVE-2026-22773?

CVE-2026-22773 has a CVSS 3.x base score of 6.5, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.

Is CVE-2026-22773 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (32nd percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-22773?

CVE-2026-22773 affects Vllm. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-22773?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

Does CVE-2026-22773 have an EU (EUVD) identifier?

Yes. CVE-2026-22773 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-1865.

When was CVE-2026-22773 published?

CVE-2026-22773 was published on 2026-01-10 and last updated on 2026-06-17.

CVE-2026-22773

CVE-2026-22773 is a medium-severity vulnerability in Vllm with a CVSS 3.x base score of 6.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-770.

Key facts

Severity: Medium (CVSS 3.x base score 6.5)
EPSS exploit prediction: 0% (32nd percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2026-1865
Weakness: CWE-770
Affected product: Vllm
Published: 2026-01-10
Last modified: 2026-06-17

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.

Frequently asked questions

What is CVE-2026-22773?: 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.
How severe is CVE-2026-22773?: CVE-2026-22773 has a CVSS 3.x base score of 6.5, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
Is CVE-2026-22773 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (32nd percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-22773?: CVE-2026-22773 affects Vllm. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-22773?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
Does CVE-2026-22773 have an EU (EUVD) identifier?: Yes. CVE-2026-22773 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-1865.
When was CVE-2026-22773 published?: CVE-2026-22773 was published on 2026-01-10 and last updated on 2026-06-17.

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr

Affected products (1)

cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

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