Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensit
The Keras.Model.load_model method, including when executed with the intended security mitigation safe_mode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery (SSRF).
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.
One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Mode
The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the ar
A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially
Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModu
The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights fr
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.
One can create a specially crafted .keras model archive that, when loaded via Model.l
The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE
A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `sa
Keras version 3.11.3 is affected by a path traversal vulnerability in the keras.utils.get_file() function when extracting tar archives. The vulnerability arises because the function uses Python's tarf
A vulnerability was found in HDF5 up to 1.14.6. It has been rated as critical. Affected by this issue is the function H5FL__blk_gc_list of the file src/H5FL.c. The manipulation of the argument H5FL_bl
A local file inclusion (LFI) vulnerability in Vedo Suite version 2024.17 allows remote authenticated attackers to read arbitrary filesystem files by exploiting an unsanitized 'readfile()' function cal
A vulnerability, which was classified as problematic, has been found in HDF5 1.14.6. This issue affects the function H5C__load_entry of the file /src/H5Centry.c. The manipulation leads to resource con
The keras.utils.get_file API in Keras, when used with the extract=True option for tar archives, is vulnerable to a path traversal attack. The utility uses Python's tarfile.extractall function without
The modelscope/ms-swift library thru 2.6.1 is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_model_meta()` function of the `ModelFileSystemCache()` c
mPDF 7.0 contains a local file inclusion vulnerability that allows attackers to read arbitrary system files by manipulating annotation file parameters. Attackers can generate URL-encoded or base64 pay
A vulnerability has been found in HDF5 up to 1.14.6 and classified as problematic. This vulnerability affects the function H5MM_realloc of the file src/H5MM.c. The manipulation of the argument mem lea
A Local File Inclusion (LFI) vulnerability exists in the /load-workflow endpoint of modelscope/agentscope version v0.0.4. This vulnerability allows an attacker to read arbitrary files from the server,
A vulnerability, which was classified as problematic, has been found in HDF5 1.14.6. This issue affects the function H5FL__malloc of the file src/H5FL.c. The manipulation leads to memory leak. Attacki
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