CVE-2020-15192 : Vulnerability Insights and Analysis

In Tensorflow before versions 2.2.1 and 2.3.1, a memory leak occurs when a user passes a list of strings to

dlpack.to_dlpack

due to improper validation. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8.

Understanding CVE-2020-15192

This CVE involves a memory leak vulnerability in Tensorflow versions 2.2.0 and 2.3.0.

What is CVE-2020-15192?

This CVE refers to a memory leak issue in Tensorflow caused by improper validation of a list of strings passed to

dlpack.to_dlpack

.

The Impact of CVE-2020-15192

CVSS Base Score: 4.3 (Medium)
Attack Vector: Network
Attack Complexity: Low
Privileges Required: Low
Availability Impact: Low
Confidentiality Impact: None
Integrity Impact: None
User Interaction: None
Scope: Unchanged

Technical Details of CVE-2020-15192

This section provides detailed technical information about the vulnerability.

Vulnerability Description

The issue arises from the improper validation of the

status

argument during failures, leading to a memory leak.

Affected Systems and Versions

Affected Versions: Tensorflow 2.2.0, 2.3.0

Exploitation Mechanism

The vulnerability can be exploited by passing a list of strings to

dlpack.to_dlpack

without proper validation.

Mitigation and Prevention

To address CVE-2020-15192, follow these mitigation steps:

Immediate Steps to Take

Upgrade Tensorflow to version 2.2.1 or 2.3.1
Apply the patch provided in commit 22e07fb204386768e5bcbea563641ea11f96ceb8

Long-Term Security Practices

Regularly update Tensorflow to the latest versions
Implement secure coding practices to validate inputs

Patching and Updates

Ensure all systems running Tensorflow are updated to versions 2.2.1 or 2.3.1