CVE-2018-21233 : Security Advisory and Response

TensorFlow before version 1.7.0 is susceptible to an integer overflow leading to an out-of-bounds read, potentially exposing process memory contents. This vulnerability affects the DecodeBmp feature of the BMP decoder.

Understanding CVE-2018-21233

An integer overflow in TensorFlow versions prior to 1.7.0 may result in an out-of-bounds read, potentially exposing process memory contents.

What is CVE-2018-21233?

This CVE pertains to a specific vulnerability in TensorFlow versions before 1.7.0 that can lead to an out-of-bounds read due to an integer overflow.

The Impact of CVE-2018-21233

The vulnerability could allow attackers to access sensitive information from the process memory, potentially leading to unauthorized disclosure of data.

Technical Details of CVE-2018-21233

TensorFlow versions prior to 1.7.0 are affected by this vulnerability.

Vulnerability Description

The issue arises from an integer overflow in the DecodeBmp feature of the BMP decoder within the core/kernels directory.

Affected Systems and Versions

TensorFlow versions before 1.7.0

Exploitation Mechanism

Attackers can exploit this vulnerability to trigger an out-of-bounds read, potentially accessing sensitive data from the process memory.

Mitigation and Prevention

It is crucial to take immediate steps to address and prevent exploitation of this vulnerability.

Immediate Steps to Take

Update TensorFlow to version 1.7.0 or newer to mitigate the risk of the integer overflow vulnerability.
Monitor for any unusual activity that could indicate exploitation of the vulnerability.

Long-Term Security Practices

Regularly update software and libraries to the latest versions to patch known vulnerabilities.
Implement secure coding practices to prevent similar vulnerabilities in the future.

Patching and Updates

Apply patches and updates provided by TensorFlow to address the integer overflow vulnerability.