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CVE-2023-0645

5.3 · MEDIUM

An out of bounds read exists in libjxl.

Published Apr 11, 2023CWE-125EPSS 0.85%

Overview

CVE-2023-0645 is a medium-severity vulnerability. It was published on April 11, 2023 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

An out of bounds read exists in libjxl. An attacker using a specifically crafted file could cause an out of bounds read in the exif handler. We recommend upgrading to version 0.8.1 or past commit  https://github.com/libjxl/libjxl/pull/2101/commits/d95b050c1822a5b1ede9e0dc937e43fca1b10159 https://github.com/libjxl/libjxl/pull/2101/commits/d95b050c1822a5b1ede9e0dc937e43fca1b10159

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2023-0645?

CVE-2023-0645 is a medium-severity vulnerability. It was published on April 11, 2023 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2023-0645?

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2023-0645?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2023-0645?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2023-0645 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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