CVE-2021-41211 (GCVE-0-2021-41211)

Vulnerability from cvelistv5 – Published: 2021-11-05 20:15 – Updated: 2024-08-04 03:08
VLAI
Title
Heap OOB read in shape inference for `QuantizeV2`
Summary
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.
Severity
7.1 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
CWE
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 7752 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
tensorflow tensorflow Affected: >= 2.6.0, < 2.6.1
guessed Create a notification for this product.
Show details on NVD website
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