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CVE-2024-52507

3.5 · LOW
Published Nov 15, 2024 nextcloud CWE-639 EPSS 0.42% (35th pctl)

Overview

CVE-2024-52507 is a low-severity vulnerability affecting nextcloud tables. It was published on November 15, 2024 and has a CVSS 3.1 base score of 3.5 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Nextcloud Tables allows users to to create tables with individual columns. The information which Table (numeric ID) is shared with which groups and users and the respective permissions was not limited to affected users. It is recommended that the Nextcloud Tables app is upgraded to 0.8.1.

Remediation

Check the references section for vendor advisories and patches from nextcloud. Update tables to the latest patched version. 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.

Affected Products

Vendor Product Versions Status
nextcloud tables >= 0.3.0, < 0.8.1 Affected

Frequently Asked Questions

What is CVE-2024-52507?

CVE-2024-52507 is a low-severity vulnerability affecting nextcloud tables. It was published on November 15, 2024 and has a CVSS 3.1 base score of 3.5 (LOW).

How severe is CVE-2024-52507?

This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-52507?

Check the references section for vendor advisories and patches from nextcloud. Update tables to the latest patched version. 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-2024-52507?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-52507 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.