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CVE-2026-27941

9.9 · CRITICAL

OpenLIT is an open source platform for AI engineering.

Published Feb 26, 2026CWE-829EPSS 0.58%

Overview

CVE-2026-27941 is a critical-severity vulnerability. It was published on February 26, 2026 and has a CVSS 3.1 base score of 9.9 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.9, rated CRITICAL. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

OpenLIT is an open source platform for AI engineering. Prior to version 1.37.1, several GitHub Actions workflows in OpenLIT's GitHub repository use the `pull_request_target` event while checking out and executing untrusted code from forked pull requests. These workflows run with the security context of the base repository, including a write-privileged `GITHUB_TOKEN` and numerous sensitive secrets (API keys, database/vector store tokens, and a Google Cloud service account key). Version 1.37.1 contains a fix.

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-2026-27941?

CVE-2026-27941 is a critical-severity vulnerability. It was published on February 26, 2026 and has a CVSS 3.1 base score of 9.9 (CRITICAL).

How severe is CVE-2026-27941?

This vulnerability has a CVSS 3.1 base score of 9.9, rated CRITICAL. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2026-27941?

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-2026-27941?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-27941 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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