CVE-2026-65918

CVE-2026-65918 affects PyTorch torchvision up to version 0.28.0. The GIF decoder’s read_from_tensor callback performs an out-of-bounds heap read by passing an unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to trigger a denial of service (segmentation fault) or d...

CVE-2026-65918

PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's readfromtensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fau...

CVE-2026-65918 PyTorch torchvision GIF Decoder Out-of-bounds Heap Read

PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's readfromtensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fau...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-54058 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

CVE-2026-65918: Out-of-bounds Read

PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's readfromtensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fau...

PT-2026-64043

Name of the Vulnerable Software and Affected Versions PyTorch torchvision versions prior to 0.28.1 Description An out-of-bounds heap read occurs in the GIF decoder's read from tensor callback because an unclamped length is passed to memcpy. This allows attackers to use malicious or truncated GIF...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-59205 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-59199 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-59197 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-55798 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-55379 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

azureml-designer-classic-modules (>=0.0.127, <=0.0.129), azureml-designer-cv-modules (>=0.0.8, <=0.0.10) +17 more potentially affected by CVE-2026-54059 via pillow (7.1.0)

pillow PYPI version 7.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on pillow and may be impacted: - azureml-designer-classic-modules =0.0.127, =0.0.8, =0.0.10, =0.0.7, =0.0.7, =0.0.2, =0.3.1, =0.1.1, =0.0.2, =0.0.1, =0.0.4, =0.0.3, =0.1.0 - qweb...

CVE-2026-12484

A flaw was found in Keras, specifically within the keras.layers.TorchModuleWrapper.fromconfig method. This vulnerability allows an attacker to perform unsafe deserialization of PyTorch pickle data. By processing untrusted Keras layer configurations, a local attacker could exploit this flaw, leadi...

Linux Distros Unpatched Vulnerability : CVE-2026-12484

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public...

GHSA-V2W2-W228-C444 Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.fromconfig method. This method invokes torch.load..., weightsonly=False without requiring an explicit unsafe opt-in, such ...

Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.fromconfig method. This method invokes torch.load..., weightsonly=False without requiring an explicit unsafe opt-in, such ...

Deserialization of Untrusted Data

Overview keras is a Keras is a high-level neural networks API for Python.. Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the fromconfig function. An attacker can execute arbitrary code by supplying malicious PyTorch pickle data to this method when it is...

CVE-2026-12484

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.fromconfig method. This method invokes torch.load..., weightsonly=False without requiring an explicit unsafe opt-in, such ...

DEBIAN-CVE-2026-12484

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.fromconfig method. This method invokes torch.load..., weightsonly=False without requiring an explicit unsafe opt-in, such ...

CVE-2026-12484

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.fromconfig method. This method invokes torch.load..., weightsonly=False without requiring an explicit unsafe opt-in, such ...