470 matches found
CVE-2026-12482
A vulnerability in keras-team/keras version 3.12.0 allows an attacker to craft a malicious tar archive that bypasses the filtersafetarinfos validation in keras/src/utils/fileutils.py. Specifically, symlink entries are not subjected to the same ispathindir validation as regular file entries,...
CVE-2026-12482 Path Traversal via Symlink Name Validation Bypass in keras-team/keras
A vulnerability in keras-team/keras version 3.12.0 allows an attacker to craft a malicious tar archive that bypasses the filtersafetarinfos validation in keras/src/utils/fileutils.py. Specifically, symlink entries are not subjected to the same ispathindir validation as regular file entries,...
CVE-2026-12482
A vulnerability in keras-team/keras version 3.12.0 allows an attacker to craft a malicious tar archive that bypasses the filtersafetarinfos validation in keras/src/utils/fileutils.py. Specifically, symlink entries are not subjected to the same ispathindir validation as regular file entries,...
CVE-2026-12482
CVE-2026-12482 affects keras-team/keras v3.12.0. A path-traversal issue arises in tar extraction: symlink entries bypass the is_path_in_dir validation used for regular files in keras/src/utils/file_utils.py due to imperfect filter_safe_tarinfos. This allows crafting a malicious tar to place or re...
EUVD-2026-43620
A vulnerability in keras-team/keras version 3.12.0 allows an attacker to craft a malicious tar archive that bypasses the filtersafetarinfos validation in keras/src/utils/fileutils.py. Specifically, symlink entries are not subjected to the same ispathindir validation as regular file entries,...
CVE-2026-12479
A flaw was found in Keras, specifically in the model saving and loading library. This path traversal vulnerability occurs due to improper handling of user-provided layer names, which allows an attacker to craft a malicious Keras model. When this model is saved or loaded, it can escape its intende...
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...
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
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
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...
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 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...
CVE-2026-12480
A flaw was found in Keras. An attacker can craft a malicious model archive or weights file containing a Virtual Dataset VDS that references external files on a victim's system. When a user loads this malicious model, the external file is transparently read. This vulnerability leads to information...
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...
CVE-2026-12480
Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...
DEBIAN-CVE-2026-12480
Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...