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CVE-2017-20172

5.5 · MEDIUM

A vulnerability was found in ridhoq soundslike.

Published Jan 18, 2023CWE-89EPSS 0.63%

Overview

CVE-2017-20172 is a medium-severity vulnerability. It was published on January 18, 2023 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical description

A vulnerability was found in ridhoq soundslike. It has been classified as critical. Affected is the function get_song_relations of the file app/api/songs.py. The manipulation leads to sql injection. The patch is identified as 90bb4fb667d9253d497b619b9adaac83bf0ce0f8. It is recommended to apply a patch to fix this issue. VDB-218490 is the identifier assigned to this vulnerability.

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-2017-20172?

CVE-2017-20172 is a medium-severity vulnerability. It was published on January 18, 2023 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

How severe is CVE-2017-20172?

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-20172?

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-2017-20172?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-20172 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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