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CVE-2022-21726
Good to know:
Date: February 3, 2022
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.
Language: Python
Severity Score
Related Resources (5)
Severity Score
Weakness Type (CWE)
Out-of-bounds Read
CWE-125Top Fix
Upgrade Version
Upgrade to version tensorflow - 2.5.3,2.6.3,2.7.1;tensorflow-cpu - 2.5.3,2.6.3,2.7.1;tensorflow-gpu - 2.5.3,2.6.3,2.7.1
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | NETWORK |
| Attack Complexity (AC): | LOW |
| Privileges Required (PR): | LOW |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | HIGH |
| Integrity (I): | HIGH |
| Availability (A): | HIGH |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | NETWORK |
| Access Complexity (AC): | LOW |
| Authentication (AU): | SINGLE |
| Confidentiality (C): | PARTIAL |
| Integrity (I): | PARTIAL |
| Availability (A): | PARTIAL |
| Additional information: |