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.
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History
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:15:50
Updated: 2024-08-03T22:11:06.232Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29579
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:14.247
Modified: 2024-11-21T06:01:25.327
Link: CVE-2021-29579
Redhat
No data.