CVE-2020-15200 : What You Need to Know

In Tensorflow before version 2.3.1, a vulnerability exists that could lead to a heap buffer overflow due to improper input validation. This issue has been assigned CVE-2020-15200.

Understanding CVE-2020-15200

This CVE involves a specific vulnerability in Tensorflow that could result in a segmentation fault.

What is CVE-2020-15200?

The vulnerability in Tensorflow before version 2.3.1 arises from the

RaggedCountSparseOutput

implementation lacking validation for input arguments, potentially causing a heap buffer overflow.

The Impact of CVE-2020-15200

The vulnerability could allow attackers to trigger a heap buffer overflow, leading to a segmentation fault and potential denial of service.

Technical Details of CVE-2020-15200

This section delves into the technical aspects of the CVE.

Vulnerability Description

The issue stems from the lack of validation in the

RaggedCountSparseOutput

implementation, enabling conditions for a heap buffer overflow.

Affected Systems and Versions

Product: Tensorflow
Vendor: Tensorflow
Vulnerable Version: 2.3.0

Exploitation Mechanism

Attack Complexity: High
Attack Vector: Network
Availability Impact: High
Privileges Required: None
Scope: Unchanged

Mitigation and Prevention

Steps to address and prevent the CVE.

Immediate Steps to Take

Update Tensorflow to version 2.3.1 or later.
Monitor security advisories for any related patches or updates.

Long-Term Security Practices

Implement secure coding practices to validate input data.
Regularly update software and libraries to mitigate known vulnerabilities.

Patching and Updates

Patch for this issue is available in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02, released in Tensorflow version 2.3.1.