CVE-2025-31971
5.1 · MEDIUMOverview
CVE-2025-31971 is a medium-severity vulnerability. It was published on August 28, 2025 and has a CVSS 3.1 base score of 5.1 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.1, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical Description
AIML Solutions for HCL SX is vulnerable to a URL validation vulnerability. The issue may allow attackers to launch a server-side request forgery (SSRF) attack enabling unauthorized network calls from the system, potentially exposing internal services or sensitive information.
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-2025-31971?
CVE-2025-31971 is a medium-severity vulnerability. It was published on August 28, 2025 and has a CVSS 3.1 base score of 5.1 (MEDIUM).
How severe is CVE-2025-31971?
This vulnerability has a CVSS 3.1 base score of 5.1, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-31971?
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-2025-31971?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-31971 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.
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