TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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.
History

No history.

cve-icon MITRE Information

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-05-14T19:16:04

Updated: 2021-05-14T19:16:04

Reserved: 2021-03-30T00:00:00


Link: CVE-2021-29576

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2021-05-14T20:15:14.107

Modified: 2022-04-25T20:08:39.400


Link: CVE-2021-29576

JSON object: View

cve-icon Redhat Information

No data.