TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
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References
History
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:20:52
Updated: 2024-08-03T22:11:06.266Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29609
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:15.850
Modified: 2024-11-21T06:01:29.180
Link: CVE-2021-29609
Redhat
No data.