CVE-2026-10868
Overview
CVE-2026-10868 is a known-severity vulnerability. It was published on June 4, 2026.
Technical Description
A mass assignment vulnerability exists in the MISP user edit functionality due to insufficient filtering of user-supplied fields in UsersController::edit(). When processing edit requests, the application accepted a user-controlled User.id value from request data. An authenticated attacker could craft a modified request containing another user identifier, potentially causing updates to be applied to an unintended user account. Depending on the editable fields and the attacker’s privileges, this could allow unauthorized modification of user account attributes and impact account integrity.
The issue was addressed by explicitly removing the User.id field from request data before processing the user edit operation.
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-2026-10868?
CVE-2026-10868 is a known-severity vulnerability. It was published on June 4, 2026.
How severe is CVE-2026-10868?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2026-10868?
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-2026-10868?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-10868 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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