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 vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow

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

CVE-2026-53923 affects vLLM GGUF dequantize kernels. Root cause: integer truncation due to using int for the element count parameter, causing m*n (potentially > INT_MAX) to be truncated when passing to CUDA kernels, leading to unfilled output tensor memory that may retain data from previous in...

PT-2026-50472

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.23.1rc0 Description Integer truncation of tensor dimensions in GGUF dequantize kernels within csrc/quantization/gguf/gguf kernel.cu leads to partial tensor processing. The output tensor is allocated at full size...

EUVD-2022-0289

Malicious code in bioql PyPI...

EUVD-2022-0290

Malicious code in bioql PyPI...

Linux Distros Unpatched Vulnerability : CVE-2017-9872

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - The IIIdequantizesample function in layer3.c in mpglib, as used in libmpgdecoder.a in LAME 3.99.5 and other products, allows remote attackers to cause a denial ...

CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

CVE-2021-37645

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

CVE-2021-29582

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The...

CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

CVE-2022-21726

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...

TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation

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BIT-TENSORFLOW-2022-21726 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...

BIT-TENSORFLOW-2022-21727 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

NULL Pointer Dereference

Overview Affected versions of this package are vulnerable to NULL Pointer Dereference in QuantizedMatMulWithBiasAndDequantize with MKL enabled. PoC import tensorflow as tf func = tf.rawops.QuantizedMatMulWithBiasAndDequantize para='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4,...

AZL-35315 CVE-2023-25670 affecting package tensorflow for versions less than 2.11.1-1

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...

AZL-31214 CVE-2023-25670 affecting package tensorflow for versions less than 2.11.1-1

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...

Google TensorFlow 代码问题漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A code issue vulnerability exists in TensorFlow version 2.12 prior to version 2.12.0 and version 2.11 prior to version 2.11.1, which stems from a zero error in MKL-enabled...

CVE-2023-25670

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...