CVE-2026-53923

vLLM is an inference and serving engine for large language models LLMs. From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels csrc/quantization/gguf/ggufkernel.cu causes partial tensor processing. The output tensor is allocated at full size via...

CVE-2026-53923

Summary of CVE-2026-53923 : The vulnerability affects vLLM (GGUF dequantize kernels) where integer truncation of tensor dimensions causes partially filled output tensors. From 0.5.5 up to 0.23.1rc0, the code allocates the full output tensor (torch::empty) but the CUDA kernel processes only a trun...

Heap-based Buffer Overflow

Overview Affected versions of this package are vulnerable to Heap-based Buffer Overflow in the ggmlnbytes function. An attacker can achieve memory corruption and potentially execute arbitrary code by supplying a specially crafted GGUF file with manipulated tensor dimensions that trigger an intege...

CVE-2026-33298

llama.cpp is an inference of several LLM models in C/C++. Prior to b7824, an integer overflow vulnerability in the ggmlnbytes function allows an attacker to bypass memory validation by crafting a GGUF file with specific tensor dimensions. This causes ggmlnbytes to return a significantly smaller...

CVE-2021-41197

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...

PYSEC-2021-805

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...

CVE-2021-41197

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from an input validation error vulnerability that stems from the fact that TensorFlow allows tensors to have a large number of dimensions, each of which can be adjusted...

GHSA-9C84-4HX6-XMM4 Integer overflow in TFLite concatentation

Impact The TFLite implementation of concatenation is vulnerable to an integer overflow issue: cc for int d = 0; d dims-size; ++d if d == axis sumaxis += t-dims-dataaxis; else TFLITEENSUREEQcontext, t-dims-datad, t0-dims-datad; An attacker can craft a model such that the dimensions of one of the...

PT-2021-18352 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4 are also affected Description: The TFLite implementation of concatenation is vulnerable to an integer overflow issue. An attacker can craft a model such tha...