PyPi: Tensorflow-Rocm

CVE-2021-37668

Safety vulnerability ID: 57803

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-rocm version 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37668:
In affected versions, an attacker can cause denial of service in applications serving models using "tf.raw_ops.UnravelIndex" by triggering a division by 0. The implementation (https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by "dims" is not empty. Hence, if one element of "dims" is 0, the implementation does a division by 0. The Tensorflow team has patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2wmv-37vq-52g5
https://github.com/tensorflow/tensorflow/commit/a776040a5e7ebf76eeb7eb923bf1ae417dd4d233

Affected package

tensorflow-rocm

Latest version: 2.14.0.600

TensorFlow is an open source machine learning framework for everyone.

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