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CVE-2022-29205

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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, there is a potential for segfault / denial of service in TensorFlow by calling "tf.compat.v1.*" ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a "nullptr" value is passed to "ParseDimensionValue" for the "py_value" argument. Then, this is dereferenced, resulting in segfault. 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)

NULL Pointer Dereference

CWE-476

Use of Uninitialized Resource

CWE-908

Top Fix

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Upgrade Version

Upgrade to version tensorflow-cpu - 2.8.1;tensorflow-cpu - 2.7.2;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

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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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