PyPi: Intel-Tensorflow

CVE-2021-41196

Safety vulnerability ID: 56802

This vulnerability was reviewed by experts

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

Created at Nov 05, 2021 Updated at Nov 29, 2024
Scan your Python projects for vulnerabilities →

Advisory

Intel-tensorflow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41196: In affected versions, the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8

Affected package

intel-tensorflow

Latest version: 2.14.0

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

Use this package?

Scan your Python project for dependency vulnerabilities in two minutes

Scan your application

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