TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to `tf.raw_ops.RaggedGather` don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/ragged_gather_op.cc#L70) directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that the list given by `params_nested_splits` is not an empty list of tensors. We have patched the issue in GitHub commit a2b743f6017d7b97af1fe49087ae15f0ac634373. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
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Affected Vendors & Products
References
History
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-08-12T20:30:17
Updated: 2024-08-04T01:23:01.426Z
Reserved: 2021-07-29T00:00:00
Link: CVE-2021-37641
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-08-12T21:15:07.670
Modified: 2024-11-21T06:15:35.280
Link: CVE-2021-37641
Redhat
No data.