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CVE-2022-29211
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.histogram_fixed_width" is vulnerable to a crash when the values array contain "Not a Number" ("NaN") elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If "values" contains "NaN" then the result of the division is still "NaN" and the cast to "int32" would result in a crash. This only occurs on the CPU implementation. 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
Weakness Type (CWE)
Improper Input Validation
CWE-20Top Fix

Upgrade Version
Upgrade to version 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;tensorflow-cpu - 2.7.2;tensorflow-cpu - 2.8.1;tensorflow-cpu - 2.6.4
CVSS v3.1
Base Score: |
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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: |