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CVE-2026-26794

8.8 · HIGH

GL-iNet GL-AR300M16 v4.3.11 was discovered to contain a SQL injection vulnerability via the add_group() function.

Published Mar 12, 2026CWE-89EPSS 0.68%

Overview

CVE-2026-26794 is a high-severity vulnerability. It was published on March 12, 2026 and has a CVSS 3.1 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

GL-iNet GL-AR300M16 v4.3.11 was discovered to contain a SQL injection vulnerability via the add_group() function. This vulnerability allows attackers to execute arbitrary SQL database operations via a crafted HTTP request.

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.

References

GitHubgithub.com/sezangel/IOT-vul/tree/main/GL-iNet/GL-AR300M16/acl--add_group

How CyberStrike helps

Frequently asked questions

What is CVE-2026-26794?

CVE-2026-26794 is a high-severity vulnerability. It was published on March 12, 2026 and has a CVSS 3.1 base score of 8.8 (HIGH).

How severe is CVE-2026-26794?

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2026-26794?

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-2026-26794?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-26794 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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