PyPi: Tensorflow-Gpu

CVE-2022-23570

Safety vulnerability ID: 56042

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Feb 04, 2022 Updated at Nov 29, 2024
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Advisory

Tensorflow-gpu is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Affected package

tensorflow-gpu

Latest version: 2.12.0

Removed: please install "tensorflow" instead.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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Severity Details

CVSS Base Score

MEDIUM 6.5

CVSS v3 Details

MEDIUM 6.5
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
LOW
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 4.0
Access Vector (AV)
NETWORK
Access Complexity (AC)
LOW
Authentication (Au)
SINGLE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL