Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72 | Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2022-02-03T11:01:42
Updated: 2022-02-03T11:01:42
Reserved: 2021-11-16T00:00:00
Link: CVE-2022-21726
JSON object: View
NVD Information
Status : Analyzed
Published: 2022-02-03T11:15:07.810
Modified: 2022-02-08T20:05:44.557
Link: CVE-2022-21726
JSON object: View
Redhat Information
No data.
CWE