TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcv | Exploit Patch Third Party Advisory |
History
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MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:15:50
Updated: 2021-05-14T19:15:50
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29579
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:14.247
Modified: 2021-05-20T15:43:27.363
Link: CVE-2021-29579
JSON object: View
Redhat Information
No data.