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CVE-2022-29204
Good to know:
Date: May 20, 2022
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of "tf.raw_ops.UnsortedSegmentJoin" does not fully validate the input arguments. This results in a "CHECK"-failure which can be used to trigger a denial of service attack. The code assumes "num_segments" is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a "CHECK"-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Language: Python
Severity Score
Related Resources (12)
Severity Score
Top Fix
Upgrade Version
Upgrade to version tensorflow-cpu - 2.7.2;tensorflow-cpu - 2.8.1;tensorflow-cpu - 2.6.4;tensorflow - 2.7.2;tensorflow - 2.8.1;tensorflow - 2.6.4;tensorflow-gpu - 2.7.2;tensorflow-gpu - 2.8.1;tensorflow-gpu - 2.6.4
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): | NONE |
| Integrity (I): | NONE |
| Availability (A): | HIGH |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | LOCAL |
| Access Complexity (AC): | LOW |
| Authentication (AU): | NONE |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | PARTIAL |
| Additional information: |