PyPi: Tensorflow-Gpu

CVE-2021-37673

Safety vulnerability ID: 56130

This vulnerability was reviewed by experts

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

Created at Aug 12, 2021 Updated at Nov 29, 2024
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Advisory

Tensorflow-gpu version 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37673:
In affected versions, an attacker can trigger a denial of service via a "CHECK"-fail in "tf.raw_ops.MapStage". The implementation (https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the "key" input is a valid non-empty tensor. The Tensorflow team has patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-278g-rq84-9hmg
https://github.com/tensorflow/tensorflow/commit/d7de67733925de196ec8863a33445b73f9562d1d

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 5.5

CVSS v3 Details

MEDIUM 5.5
Attack Vector (AV)
LOCAL
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

LOW 2.1
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL