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CVE-2026-109170

6.5 · MEDIUM

LogicalDOC Community Edition through 9.3 contains an HQL injection vulnerability in DocumentsDataServlet that allows authenticated users to manipulate queries via the unvalidated indexed parameter.

Published Oct 12, 2026CWE-89EPSS 0.27%

Overview

CVE-2026-109170 is a medium-severity vulnerability. It was published on October 12, 2026 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

LogicalDOC Community Edition through 9.3 contains an HQL injection vulnerability in DocumentsDataServlet that allows authenticated users to manipulate queries via the unvalidated indexed parameter. Attackers with read access to any folder can inject boolean HQL expressions to bypass folder scope and read-permission checks, listing restricted document metadata and extracting database contents.

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-2026-109170?

CVE-2026-109170 is a medium-severity vulnerability. It was published on October 12, 2026 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2026-109170?

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-2026-109170?

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-2026-109170?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-109170 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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