TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. 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/6fc9141f42f6a72180ecd24021c3e6b36165fe0d | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v6r6-84gr-92rm | Exploit Patch Third Party Advisory |
History
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MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:15:59
Updated: 2021-05-14T19:15:59
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29577
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:14.153
Modified: 2021-05-20T15:36:52.857
Link: CVE-2021-29577
JSON object: View
Redhat Information
No data.