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CVE-2021-41216
Good to know:
Date: November 5, 2021
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Language: Python
Severity Score
Severity Score
Weakness Type (CWE)
Out-of-bounds Write
CWE-787Top Fix
Upgrade Version
Upgrade to version tensorflow - 2.4.4, 2.5.2, 2.6.1, 2.7.0;tensorflow-cpu - 2.4.4, 2.5.2, 2.6.1, 2.7.0;tensorflow-gpu - 2.4.4, 2.5.2, 2.6.1, 2.7.0
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | LOCAL |
| 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): | LOCAL |
| Access Complexity (AC): | LOW |
| Authentication (AU): | NONE |
| Confidentiality (C): | PARTIAL |
| Integrity (I): | PARTIAL |
| Availability (A): | PARTIAL |
| Additional information: |