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CVE-2026-79773

4.9 · MEDIUM
Published Aug 25, 2026 CWE-22 EPSS 0.39% (32th pctl)

Overview

CVE-2026-79773 is a medium-severity vulnerability. It was published on August 25, 2026 and has a CVSS 3.1 base score of 4.9 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 4.9, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Winter CMS before 1.2.13 contains a local file inclusion vulnerability in the JavascriptImporter filter that allows authenticated users with cms.manage_assets permission to disclose arbitrary server-readable files by placing =include or =require directives in theme JavaScript assets. Attackers can reference files like .env outside the theme directory, and the combined output served through the combine route becomes readable by unauthenticated visitors, exposing application keys and database credentials.

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-2026-79773?

CVE-2026-79773 is a medium-severity vulnerability. It was published on August 25, 2026 and has a CVSS 3.1 base score of 4.9 (MEDIUM).

How severe is CVE-2026-79773?

This vulnerability has a CVSS 3.1 base score of 4.9, 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-2026-79773?

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-2026-79773?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-79773 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.