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CVE-2026-0777

7.8 · HIGH
Published Feb 20, 2026 CWE-356

Overview

CVE-2026-0777 is a high-severity vulnerability. It was published on February 20, 2026 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

Xmind Attachment Insufficient UI Warning Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Xmind. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.

The specific flaw exists within the handling of attachments. When opening an attachment, the user interface fails to warn the user of unsafe actions. An attacker can leverage this vulnerability to execute code in the context of current user. Was ZDI-CAN-26034.

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-2026-0777?

CVE-2026-0777 is a high-severity vulnerability. It was published on February 20, 2026 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2026-0777?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-0777?

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-2026-0777?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-0777 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.

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