Количество 3
Количество 3
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.
CVE-2026-22773
vLLM is an inference and serving engine for large language models (LLM ...
GHSA-grg2-63fw-f2qr
vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
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. | CVSS3: 6.5 | 0% Низкий | 10 дней назад | |
CVE-2026-22773 vLLM is an inference and serving engine for large language models (LLM ... | CVSS3: 6.5 | 0% Низкий | 10 дней назад | |
GHSA-grg2-63fw-f2qr vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions | CVSS3: 6.5 | 0% Низкий | 7 дней назад |
Уязвимостей на страницу