TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions

ImpactWhen converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process.pythonimport tensorflow as tfclass QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...

PT-2026-59905

Impact When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. python import tensorflow as tf class QuantConv2DTransposedtf.keras.layers.Layer: def buildself, input shape: self.kernel = self.add weight"kernel", 3, 3,...

PT-2026-59745

Impact When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. python import tensorflow as tf class QuantConv2DTransposedtf.keras.layers.Layer: def buildself, input shape: self.kernel = self.add weight"kernel", 3, 3,...

TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions

ImpactWhen converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process.pythonimport tensorflow as tfclass QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...

PYSEC-2026-965 TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions

Impact When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. python import tensorflow as tf class QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...

Out-of-bounds Read

Overview onnx is an Open Neural Network Exchange Affected versions of this package are vulnerable to Out-of-bounds Read through convPoolShapeInferenceopset19 in onnx/defs/nn/old.cc. An attacker can trigger the flaw by supplying a malformed convolution or pooling model that reaches the...

[SECURITY] Fedora 44 Update: leptonica-1.87.0-4.fc44

The library supports many operations that are useful on Document images Natural images Fundamental image processing and image analysis operations Rasterop aka bitblt Affine transforms scaling, translation, rotation, shear on images of arbitrary pixel depth Projective and bi-linear transforms Bina...

CVE-2021-41209

TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1,...

EUVD-2021-0431

Malware in sbrugna...

BIT-PYTORCH-2025-55558

A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and is compiled by Inductor, leading to a Denial of Service DoS...

EUVD-2025-31124

Malicious code in bioql PyPI...

A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).

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Reachable Assertion

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Reachable Assertion when the model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and compiled with...

PT-2025-39417

Name of the Vulnerable Software and Affected Versions TensorFlow version 2.18.0 Description A Denial of Service DoS issue exists in TensorFlow. Specifically, the problem occurs within the tf.keras.layers.Conv2D layer when the padding parameter is set to 'valid'. This configuration can lead to a...

Robust DDoS-Attack Classification with 3D CNNs against Adversarial Methods

Distributed Denial-of-Service DDoS attacks remain a serious threat to online infrastructure, often bypassing detection by altering traffic in subtle ways. We present a method using hive-plot sequences of network data and a 3D convolutional neural network 3D CNN to classify DDoS traffic with high...

Linux Distros Unpatched Vulnerability : CVE-2021-38093

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Integer Overflow vulnerability in function filterrobert in libavfilter/vfconvolution.c in Ffmpeg 4.2.1, allows attackers to cause a Denial of Service or other...

Linux Distros Unpatched Vulnerability : CVE-2021-38091

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Integer Overflow vulnerability in function filter16sobel in libavfilter/vfconvolution.c in Ffmpeg 4.2.1, allows attackers to cause a Denial of Service or other...

Linux Distros Unpatched Vulnerability : CVE-2021-38094

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Integer Overflow vulnerability in function filtersobel in libavfilter/vfconvolution.c in Ffmpeg 4.2.1, allows attackers to cause a Denial of Service or other...

Linux Distros Unpatched Vulnerability : CVE-2021-38090

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Integer Overflow vulnerability in function filter16roberts in libavfilter/vfconvolution.c in Ffmpeg 4.2.1, allows attackers to cause a Denial of Service or othe...

GUARD-CAN: Graph-Understanding and Recurrent Architecture for CAN Anomaly Detection

Modern in-vehicle networks face various cyber threats due to the lack of encryption and authentication in the Controller Area Network CAN. To address this security issue, this paper presents GUARD-CAN, an anomaly detection framework that combines graph-based representation learning with time-seri...