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CVE-2022-29211

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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

Severity Score

Weakness Type (CWE)

Improper Input Validation

CWE-20

Top Fix

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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

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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:

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