PyPi: Tensorflow-Rocm

CVE-2021-37685

Safety vulnerability ID: 57805

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 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37685: In affected versions TFLite's 'expand_dims.cc' (https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If 'axis' is a large negative value (e.g., '-100000'), then after the first 'if' it would still be negative. The check following the 'if' statement will pass and the 'for' loop would read one element before the start of 'input_dims.data' (when 'i = 0'). The Tensorflow team has patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257.

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)
HIGH
Integrity Impact (I)
NONE
Availability Availability (A)
NONE

CVSS v2 Details

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