TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
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Affected Vendors & Products
References
History
No history.
MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-11-05T20:15:11
Updated: 2024-08-04T03:08:31.458Z
Reserved: 2021-09-15T00:00:00
Link: CVE-2021-41211
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-11-05T21:15:08.813
Modified: 2024-11-21T06:25:47.220
Link: CVE-2021-41211
Redhat
No data.