PyPi: Tensorflow-Rocm

CVE-2022-41887

Safety vulnerability ID: 57566

This vulnerability was reviewed by experts

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

Created at Nov 18, 2022 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm 2.9.3 and 2.10.1 include a fix for CVE-2022-41887: 'tf.keras.losses.poisson' receives a 'y_pred' and 'y_true' that are passed through 'functor::mul' in 'BinaryOp'. If the resulting dimensions overflow an 'int32', TensorFlow will crash due to a size mismatch during broadcast assignment.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3

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

HIGH 7.5

CVSS v3 Details

HIGH 7.5
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH