CVE-2025-31992
4.6 · MEDIUMOverview
CVE-2025-31992 is a medium-severity vulnerability. It was published on October 12, 2025 and has a CVSS 3.1 base score of 4.6 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 4.6, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
HCL Unica MaxAI Assistant is susceptible to a HTML injection vulnerability. An attacker could insert special characters that are processed client-side in the context of the user's session.
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-2025-31992?
CVE-2025-31992 is a medium-severity vulnerability. It was published on October 12, 2025 and has a CVSS 3.1 base score of 4.6 (MEDIUM).
How severe is CVE-2025-31992?
This vulnerability has a CVSS 3.1 base score of 4.6, 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-2025-31992?
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-2025-31992?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-31992 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
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Browser-based exploitation validates findings with real proof-of-concept.
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