CVE-2026-54235

Summary: CVE-2026-54235 affects vLLM prior to 0.23.1rc0, where temperature validation gates using can silently mis-handle NaN and positive Infinity due to Python IEEE 754 behavior. This allows non-finite temperatures to bypass guards and propagate to GPU sampling kernels, causing undefined behav...

CVE-2026-54235 vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels

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 propagat...

CVE-2026-54235 vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels

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 propagat...

PT-2026-50490

Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.23.1rc0 Description Temperature validation gates use comparison operators that silently evaluate to False when encountering NaN Not a Number or positive Infinity due to Python's IEEE 754 float semantics. These values...

BIT-TENSORFLOW-2022-35999 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

TensorFlow is an open source platform for machine learning. When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. We have patched the issue in...