CVE-2020-15208 : Security Advisory and Response

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, a vulnerability allows malicious attackers to cause data corruption due to incorrect tensor dimension handling.

Understanding CVE-2020-15208

This CVE involves a data corruption vulnerability in tensorflow-lite that could be exploited by attackers.

What is CVE-2020-15208?

In tensorflow-lite versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1, a flaw in tensor dimension determination can lead to out-of-bounds reads/writes.

The Impact of CVE-2020-15208

The vulnerability has a CVSS base score of 7.4 (High) and affects confidentiality, integrity, and availability.

Technical Details of CVE-2020-15208

This section provides more technical insights into the vulnerability.

Vulnerability Description

TFLite incorrectly handles tensor dimensions, allowing attackers to manipulate tensor sizes and cause data corruption.

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

Attackers can craft scenarios where the dimension of the first tensor is larger than the second, leading to out-of-bounds reads/writes.

Mitigation and Prevention

Steps to address and prevent the vulnerability.

Immediate Steps to Take

Update TensorFlow to versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Monitor for any unusual data access patterns.

Long-Term Security Practices

Regularly update software and libraries.
Conduct security audits and code reviews.

Patching and Updates

Apply patches provided by TensorFlow to fix the vulnerability.