CVE-2020-15201 Explained : Impact and Mitigation

In Tensorflow before version 2.3.1, a vulnerability exists due to improper input validation in the

RaggedCountSparseOutput

implementation, leading to a heap buffer overflow. This issue has been assigned CVE-2020-15201.

Understanding CVE-2020-15201

This CVE details a specific vulnerability in Tensorflow that could allow an attacker to trigger a heap buffer overflow.

What is CVE-2020-15201?

The vulnerability in Tensorflow before version 2.3.1 arises from inadequate validation of input arguments, specifically related to the

RaggedCountSparseOutput

implementation. This lack of validation can result in a heap buffer overflow.

The Impact of CVE-2020-15201

The impact of this vulnerability is rated as MEDIUM with a CVSS base score of 4.8. It requires a high attack complexity and can be exploited over a network without requiring privileges.

Technical Details of CVE-2020-15201

This section provides more technical insights into the vulnerability.

Vulnerability Description

The

RaggedCountSparseOutput

implementation in Tensorflow does not properly validate input arguments, leading to a heap buffer overflow.

Affected Systems and Versions

Product: Tensorflow
Vendor: Tensorflow
Affected Version: 2.3.0

Exploitation Mechanism

The issue allows for a heap buffer overflow when certain conditions are met, potentially leading to a security breach.

Mitigation and Prevention

To address and prevent the exploitation of this vulnerability, certain steps should be taken.

Immediate Steps to Take

Update Tensorflow to version 2.3.1 or later, where the issue has been patched.
Monitor for any unusual activities that could indicate an attempted exploit.

Long-Term Security Practices

Regularly update software and libraries to the latest versions to mitigate known vulnerabilities.
Implement proper input validation mechanisms in code to prevent similar issues.

Patching and Updates

Ensure timely application of security patches and updates to all relevant systems and software components.