CVE-2020-15203 : Security Advisory and Response

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, a format string vulnerability exists due to improper input validation. This could lead to a denial of service attack.

Understanding CVE-2020-15203

This CVE involves a vulnerability in Tensorflow that could be exploited by a malicious attacker to trigger a format string vulnerability, potentially resulting in a segmentation fault.

What is CVE-2020-15203?

This CVE pertains to a vulnerability in Tensorflow versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, allowing attackers to exploit a format string vulnerability by manipulating the

fill

argument of tf.strings.as_string.

The Impact of CVE-2020-15203

The vulnerability has a CVSS base score of 7.5 (High severity) with a low attack complexity. It could lead to a denial of service due to a segmentation fault, with high availability impact.

Technical Details of CVE-2020-15203

This section provides more in-depth technical details about the CVE.

Vulnerability Description

The vulnerability arises from improper input validation in Tensorflow, specifically in the construction of the internal format used in a

printf

call, allowing for a format string vulnerability.

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

By manipulating the

fill

argument of tf.strings.as_string, an attacker can trigger the format string vulnerability, potentially leading to a segmentation fault.

Mitigation and Prevention

To address CVE-2020-15203, follow these mitigation strategies:

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 activities that could indicate an exploit attempt.

Long-Term Security Practices

Implement secure coding practices to prevent format string vulnerabilities.
Regularly update and patch software to address known vulnerabilities.

Patching and Updates

Apply the necessary patches provided by Tensorflow to fix the vulnerability.