CVE-2025-13596
Overview
CVE-2025-13596 is a known-severity vulnerability. It was published on November 24, 2025.
Technical Description
A sensitive information disclosure vulnerability exists in the error handling component of ATISoluciones CIGES Application version 2.15.6 and earlier. When certain unexpected conditions trigger unhandled exceptions, the application returns detailed error messages and stack traces to the client. This may expose internal filesystem paths, SQL queries, database connection details, or environment configuration data to remote unauthenticated attackers. This issue allows information gathering and reconnaissance but does not enable direct system compromise.
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.
References
Frequently Asked Questions
What is CVE-2025-13596?
CVE-2025-13596 is a known-severity vulnerability. It was published on November 24, 2025.
How severe is CVE-2025-13596?
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-2025-13596?
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-2025-13596?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-13596 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.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.