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CVE-2026-34392

7.5 · HIGH
Published Apr 8, 2026 mcgill CWE-552

Overview

CVE-2026-34392 is a high-severity vulnerability affecting mcgill loris. It was published on April 8, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. 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. From 20.0.0 to before 27.0.3 and 28.0.1, a bug in the static file router can allow an attacker to traverse outside of the intended directory, allowing unintended files to be downloaded through the static, css, and js endpoints. 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 >= 20.0.0, < 27.0.3 Affected

Frequently Asked Questions

What is CVE-2026-34392?

CVE-2026-34392 is a high-severity vulnerability affecting mcgill loris. It was published on April 8, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2026-34392?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-34392?

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-2026-34392?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-34392 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.