Denial of service in ONNX Python APIs via packed tensor expansion
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
17 records
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
In ONNX before 1.21.0, the 'save_external_data' function builds the external-data file path from the model's external_data location field and opens it for writing without 'O_NOFOLLOW/O_EXCL', after a non-atomic 'os.path.…
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
A vulnerability has been found in onnx onnx-mlir up to 0.5.0.0.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.
A vulnerability in the `download_model` function of the onnx/onnx framework, before and including version 1.16.1, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious ta…
A vulnerability in the `download_model_with_test_data` function of the onnx/onnx framework, version 1.16.0, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious tar file…
Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONNX_ASSERTM functions have an off by one string copy.
Versions of the package onnx before and including 1.15.0 are vulnerable to Directory Traversal as the external_data field of the tensor proto can have a path to the file which is outside the model current directory or us…