TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/87158f43f05f2720a374f3e6d22a7aaa3a33f750 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cgfm-62j4-v4rf | Third Party Advisory |
History
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MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-08-12T20:30:11
Updated: 2021-08-12T20:30:11
Reserved: 2021-07-29T00:00:00
Link: CVE-2021-37635
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-08-12T21:15:07.577
Modified: 2021-08-18T16:37:16.573
Link: CVE-2021-37635
JSON object: View
Redhat Information
No data.
CWE