TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. 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/a3d9f9be9ac2296615644061b40cefcee341dcc4 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-828x-qc2p-wprq | Exploit Patch Third Party Advisory |
History
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MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:16:13
Updated: 2021-05-14T19:16:13
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29574
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:14.017
Modified: 2021-05-18T20:11:29.997
Link: CVE-2021-29574
JSON object: View
Redhat Information
No data.
CWE