CVE-2020-15190 : What You Need to Know

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, a vulnerability in the

tf.raw_ops.Switch

operation could lead to a segmentation fault due to undefined behavior.

Understanding CVE-2020-15190

This CVE involves a vulnerability in Tensorflow versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 that could result in a segmentation fault.

What is CVE-2020-15190?

In Tensorflow versions before 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, the

tf.raw_ops.Switch

operation may cause a segmentation fault due to a reference binding issue.

The Impact of CVE-2020-15190

The vulnerability could allow an attacker to trigger a segmentation fault, potentially leading to a denial of service or other security compromises.

Technical Details of CVE-2020-15190

This section provides more technical insights into the CVE.

Vulnerability Description

The issue arises from the

tf.raw_ops.Switch

operation binding a reference to

nullptr

, resulting in undefined behavior and a segmentation fault.

Affected Systems and Versions

Tensorflow versions < 1.15.4
Tensorflow versions >= 2.0.0, < 2.0.3
Tensorflow versions >= 2.1.0, < 2.1.2
Tensorflow versions >= 2.2.0, < 2.2.1
Tensorflow versions >= 2.3.0, < 2.3.1

Exploitation Mechanism

The vulnerability can be exploited by providing crafted input to the

tf.raw_ops.Switch

operation, triggering the segmentation fault.

Mitigation and Prevention

Protecting systems from CVE-2020-15190 requires immediate actions and long-term security practices.

Immediate Steps to Take

Update Tensorflow to versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1 that contain the patch.
Monitor for any unusual system behavior that could indicate exploitation.

Long-Term Security Practices

Regularly update software and libraries to patch known vulnerabilities.
Implement input validation mechanisms to prevent similar issues in the future.

Patching and Updates

Ensure timely application of security patches and updates to mitigate the risk of exploitation.