CVE-2020-26271 Explained : Impact and Mitigation

In affected versions of TensorFlow, a vulnerability in the MakeEdge function can lead to accessing uninitialized memory, potentially resulting in data leaks. This CVE has a CVSS base score of 4.4.

Understanding CVE-2020-26271

This CVE pertains to a heap out of bounds access issue in TensorFlow, affecting certain versions of the software.

What is CVE-2020-26271?

The vulnerability in TensorFlow allows for accessing uninitialized memory during the computation graph building process, potentially leading to data leakage.

The Impact of CVE-2020-26271

The vulnerability can result in accessing uninitialized memory and potential data leaks, with a CVSS base score of 4.4 (Medium severity).

Technical Details of CVE-2020-26271

This section provides detailed technical information about the vulnerability.

Vulnerability Description

The MakeEdge function in TensorFlow can create an edge between tensors, potentially leading to out-of-bounds memory access.

Affected Systems and Versions

TensorFlow versions < 1.15.5
TensorFlow versions >= 2.0.0, < 2.0.4
TensorFlow versions >= 2.1.0, < 2.1.3
TensorFlow versions >= 2.2.0, < 2.2.2
TensorFlow versions >= 2.3.0, < 2.3.2

Exploitation Mechanism

The issue arises due to a lack of boundary checks in the MakeEdge function, allowing for potential data access beyond the allocated memory.

Mitigation and Prevention

Steps to address and prevent the vulnerability in TensorFlow.

Immediate Steps to Take

Update TensorFlow to versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, or later.
Monitor security advisories for patches and updates from TensorFlow.

Long-Term Security Practices

Regularly update TensorFlow and other software components to the latest secure versions.
Implement secure coding practices to prevent similar vulnerabilities.

Patching and Updates

Apply patches provided by TensorFlow promptly to mitigate the vulnerability.