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CVE-2024-7473

6.5 · MEDIUM

An IDOR vulnerability exists in the 'Evaluations' function of the 'umgws datasets' section in lunary-ai/lunary versions 1.3.2.

Published Oct 29, 2024CWE-639EPSS 0.42%

Overview

CVE-2024-7473 is a medium-severity vulnerability. It was published on October 29, 2024 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

An IDOR vulnerability exists in the 'Evaluations' function of the 'umgws datasets' section in lunary-ai/lunary versions 1.3.2. This vulnerability allows an authenticated user to update other users' prompts by manipulating the 'id' parameter in the request. The issue is fixed in version 1.4.3.

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-2024-7473?

CVE-2024-7473 is a medium-severity vulnerability. It was published on October 29, 2024 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2024-7473?

This vulnerability has a CVSS 3.1 base score of 6.5, 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-2024-7473?

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-2024-7473?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2024-7473 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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