TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` is vulnerable to a division by 0. The implementation(https://github.com/tensorflow/tensorflow/blob/279bab6efa22752a2827621b7edb56a730233bd8/tensorflow/core/kernels/maxpooling_op.cc#L1033-L1034) fails to validate that the batch dimension of the tensor is non-zero, before dividing by this quantity. 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/376c352a37ce5a68b721406dc7e77ac4b6cf483d | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9vpm-rcf4-9wqw | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:16:18
Updated: 2021-05-14T19:16:18
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29573
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:13.970
Modified: 2021-05-20T14:56:08.083
Link: CVE-2021-29573
JSON object: View
Redhat Information
No data.
CWE