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CVE-2023-45663

5.3 · MEDIUM

stb_image is a single file MIT licensed library for processing images.

Published Oct 21, 2023CWE-908EPSS 0.66%

Overview

CVE-2023-45663 is a medium-severity vulnerability. It was published on October 21, 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. No authentication or special privileges are required for exploitation.

Technical description

stb_image is a single file MIT licensed library for processing images. The stbi__getn function reads a specified number of bytes from context (typically a file) into the specified buffer. In case the file stream points to the end, it returns zero. There are two places where its return value is not checked: In the `stbi__hdr_load` function and in the `stbi__tga_load` function. The latter of the two is likely more exploitable as an attacker may also control the size of an uninitialized buffer.

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-2023-45663?

CVE-2023-45663 is a medium-severity vulnerability. It was published on October 21, 2023 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2023-45663?

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2023-45663?

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-2023-45663?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2023-45663 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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