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CVE-2022-21728
Good to know:
Date: February 3, 2022
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. 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 (6)
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): | NONE |
| Availability (A): | HIGH |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | NETWORK |
| Access Complexity (AC): | LOW |
| Authentication (AU): | SINGLE |
| Confidentiality (C): | PARTIAL |
| Integrity (I): | NONE |
| Availability (A): | PARTIAL |
| Additional information: |