PyPi: Tensorflow-Rocm-Enhanced

CVE-2020-15207

Safety vulnerability ID: 58226

This vulnerability was reviewed by experts

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

Created at Sep 25, 2020 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm-enhanced versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 include a fix for CVE-2020-15207: In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses 'ResolveAxis' to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the 'DCHECK' does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q4qf-3fc6-8x34

Affected package

tensorflow-rocm-enhanced

Latest version: 2.4.3

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

CRITICAL 9.0

CVSS v3 Details

CRITICAL 9.0
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
HIGH
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
CHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 6.8
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL