CVE-2025-12147
Overview
CVE-2025-12147 is a known-severity vulnerability. It was published on October 29, 2025.
Technical Description
In Search Guard FLX versions 3.1.1 and earlier, Field-Level Security (FLS) rules are improperly enforced on object-valued fields.
When an FLS exclusion rule (e.g., ~field) is applied to a field which contains an object as its value, the object is correctly removed from the _source returned by search operations. However, the object members (i.e., child attributes) remain accessible to search queries. This exposure allows adversaries to infer or reconstruct the original contents of the excluded object.
Workaround - If you cannot upgrade immediately and FLS exclusion rules are used for object valued attributes (like ~object), add an additional exclusion rule for the members of the object (like ~object.*).
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-2025-12147?
CVE-2025-12147 is a known-severity vulnerability. It was published on October 29, 2025.
How severe is CVE-2025-12147?
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-2025-12147?
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-2025-12147?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-12147 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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