CVE-2026-39985
4.3 · MEDIUMOverview
CVE-2026-39985 is a medium-severity vulnerability affecting mcgill loris. It was published on April 9, 2026 and has a CVSS 3.1 base score of 4.3 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
LORIS (Longitudinal Online Research and Imaging System) is a self-hosted web application that provides data- and project-management for neuroimaging research. Prior to 27.0.3 and 28.0.1, the redirect parameter upon login to LORIS was not validating the value of the redirect as being within LORIS, which could be used to trick users into visiting arbitrary URLs if they are given a link with a third party redirect parameter. This vulnerability is fixed in 27.0.3 and 28.0.1.
Remediation
Check the references section for vendor advisories and patches from mcgill. Update loris 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 |
|---|---|---|---|
| mcgill | loris | >= 0, < 27.0.3 | Affected |
Frequently Asked Questions
What is CVE-2026-39985?
CVE-2026-39985 is a medium-severity vulnerability affecting mcgill loris. It was published on April 9, 2026 and has a CVSS 3.1 base score of 4.3 (MEDIUM).
How severe is CVE-2026-39985?
This vulnerability has a CVSS 3.1 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2026-39985?
Check the references section for vendor advisories and patches from mcgill. Update loris 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-2026-39985?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-39985 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
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