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Количество 4

Количество 4

redhat логотип

CVE-2026-54235

около 1 месяца назад

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

CVSS3: 6.5
EPSS: Низкий
nvd логотип

CVE-2026-54235

около 1 месяца назад

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

CVSS3: 6.5
EPSS: Низкий
debian логотип

CVE-2026-54235

около 1 месяца назад

vLLM is an inference and serving engine for large language models (LLM ...

CVSS3: 6.5
EPSS: Низкий
github логотип

GHSA-7h4p-rffg-7823

около 2 месяцев назад

vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels

EPSS: Низкий

Уязвимостей на страницу

Уязвимость
CVSS
EPSS
Опубликовано
redhat логотип
CVE-2026-54235

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

CVSS3: 6.5
0%
Низкий
около 1 месяца назад
nvd логотип
CVE-2026-54235

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

CVSS3: 6.5
0%
Низкий
около 1 месяца назад
debian логотип
CVE-2026-54235

vLLM is an inference and serving engine for large language models (LLM ...

CVSS3: 6.5
0%
Низкий
около 1 месяца назад
github логотип
GHSA-7h4p-rffg-7823

vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels

0%
Низкий
около 2 месяцев назад

Уязвимостей на страницу