GHSA-X3GM-94WQ-G975 PyTorch: Manipulation of the argument scale/zero_point leads to improper initialization via Quantized Sigmoid Module

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

PYSEC-2025-190

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

CVE-2025-2149

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

CVE-2025-2149

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

PYSEC-2025-190

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

UBUNTU-CVE-2025-2149

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

CVE-2025-2149 PyTorch Quantized Sigmoid Module nnq_Sigmoid initialization

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...

CVE-2025-2149

CVE-2025-2149 affects PyTorch 2.6.0+cu124, specifically the Quantized Sigmoid Module’s nnq_Sigmoid func. The issue stems from improper initialization caused by manipulation of scale/zero_point, enabling a local attack with high attack complexity; exploitation has been disclosed. Connected IBM adv...

PT-2025-10577

Name of the Vulnerable Software and Affected Versions PyTorch version 2.6.0+cu124 Description A problem was found in the Quantized Sigmoid Module, specifically in the nnq Sigmoid function. The issue arises from the manipulation of the scale and zero point arguments, leading to improper...

BIT-TENSORFLOW-2020-26266 Uninitialized memory access in Eigen types in TensorFlow

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen...

BIT-TENSORFLOW-2022-29205 Segfault due to missing support for quantized types in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

BIT-TENSORFLOW-2022-41889 Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extractvolumepatches by passing in quantized tensors...

SUSE 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...

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-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...

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...

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...

GHSA-49RQ-HWC3-X77W TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

Impact NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable python import tensorflow as tf func = tf.rawops.QuantizedMatMulWithBiasAndDequantize para='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4, dtype=tf.qint8, 'bias': 31.81644630432129, 47.21876525878906, 109.95201110839844,...

PT-2023-20232

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.12.0 TensorFlow versions prior to 2.11.1 Description TensorFlow is an open source platform for machine learning. The issue is a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is...