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CVE-2019-9635 : What You Need to Know

Learn about CVE-2019-9635, a vulnerability in Google TensorFlow versions before 1.12.2 that allows denial of service attacks via a NULL pointer dereference when processing invalid GIF files. Find out how to mitigate and prevent exploitation.

Google TensorFlow prior to version 1.12.2 is vulnerable to a denial of service attack triggered by encountering an invalid GIF file, leading to a NULL pointer dereference.

Understanding CVE-2019-9635

This CVE involves a vulnerability in Google TensorFlow that could result in a denial of service due to a NULL pointer dereference when processing an invalid GIF file.

What is CVE-2019-9635?

A denial of service vulnerability in Google TensorFlow versions before 1.12.2 can be exploited by encountering an invalid GIF file, causing a NULL pointer dereference.

The Impact of CVE-2019-9635

The vulnerability allows attackers to trigger a denial of service condition by exploiting the NULL pointer dereference when handling malformed GIF files.

Technical Details of CVE-2019-9635

Google TensorFlow vulnerability details and affected systems.

Vulnerability Description

The vulnerability in Google TensorFlow before version 1.12.2 allows for a denial of service attack through a NULL pointer dereference when processing invalid GIF files.

Affected Systems and Versions

        Product: Google TensorFlow
        Vendor: Google
        Versions Affected: All versions before 1.12.2

Exploitation Mechanism

Attackers can exploit this vulnerability by providing a specially crafted invalid GIF file, triggering the NULL pointer dereference and causing a denial of service.

Mitigation and Prevention

Steps to mitigate and prevent exploitation of CVE-2019-9635.

Immediate Steps to Take

        Update Google TensorFlow to version 1.12.2 or later to mitigate the vulnerability.
        Avoid processing untrusted or unknown GIF files to prevent exploitation.

Long-Term Security Practices

        Regularly update software and libraries to the latest versions to address known vulnerabilities.
        Implement file input validation to prevent processing of malicious or malformed files.

Patching and Updates

        Apply patches and updates provided by Google for TensorFlow to fix the vulnerability and enhance security measures.

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