Out of bounds read in Tensorflow
CVE-2022-21726
8.1HIGH
Summary
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
CVSS V3.1
Score:
8.1
Severity:
HIGH
Confidentiality:
High
Integrity:
None
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged
Timeline
Vulnerability published
Vulnerability Reserved
Collectors
NVD DatabaseMitre Database