853 matches found
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 ...
EUVD-2026-45872
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 ...
CVE-2026-12484 Unsafe Deserialization in keras.layers.TorchModuleWrapper.from_config
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 ...
PT-2026-61274
Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description Memory corruption occurs in the USB serial safe mode when a malicious device reports a bulk-out buffer size smaller than eight bytes. This can lead to user-controlled slab corruption,...
PYSEC-2026-1487 Keras is vulnerable to arbitrary local file loading and Server-Side Request Forgery
The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...
CVE-2026-12481
A flaw was found in the Keras deep learning library. This vulnerability allows a remote attacker to execute arbitrary code on the system by exploiting improper handling of deserialization in the Lambda layer. Specifically, a security safeguard designed to prevent unsafe deserialization is bypasse...
Linux Distros Unpatched Vulnerability : CVE-2026-12481
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 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer...
GHSA-5GWJ-M78Q-7PQ3 Keras: Lambda deserialization can bypass safe mode and execute code
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
DEBIAN-CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
UBUNTU-CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481 Deserialization of Untrusted Data in keras-team/keras
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481
The CVE affects keras-team/keras 3.14.0, where deserialization in the Lambda layer can bypass the safe-mode guard. The root cause is _raise_for_lambda_deserialization() treating safe_mode=None as unset/deny, allowing attacker-controlled marshal bytecode to be deserialized. Affected call sites inc...
CVE-2026-12481 Deserialization of Untrusted Data in keras-team/keras
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
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 deserialization process of the Lambda layer when the safemode safeguard is not explicitly enabled. An attacker can execute...
EUVD-2026-41600
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
PT-2026-55585
Name of the Vulnerable Software and Affected Versions keras-team/keras version 3.14.0 Description Improper handling of deserialization in the Lambda layer allows for arbitrary OS-level code execution in the context of the server or user process. The raise for lambda deserialization function fails...