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.
Find out more about CVE-2021-41211 from the MITRE-CVE dictionary and NIST NVD
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Product Name | Status | Defect | Fixed | Downloads |
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Linux | ||||
Wind River Linux LTS 17 | Not Vulnerable | -- | -- | -- |
Wind River Linux 8 | Not Vulnerable | -- | -- | -- |
Wind River Linux 9 | Not Vulnerable | -- | -- | -- |
Wind River Linux 7 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 21 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 22 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 18 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 19 | Not Vulnerable | -- | -- | -- |
Wind River Linux CD release | Not Vulnerable | -- | -- | -- |
Wind River Linux 6 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 23 | Not Vulnerable | -- | -- | -- |
VxWorks | ||||
VxWorks 7 | Not Vulnerable | -- | -- | -- |
VxWorks 6.9 | Not Vulnerable | -- | -- | -- |
Helix Virtualization Platform Cert Edition | ||||
Helix Virtualization Platform Cert Edition | Not Vulnerable | -- | -- | -- |
Product Name | Status | Defect | Fixed | Downloads |
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