CVE-2025-9313
Overview
CVE-2025-9313 is a known-severity vulnerability. It was published on October 28, 2025.
Technical Description
An unauthenticated user can connect to a publicly accessible database using arbitrary credentials. The system grants full access to the database by leveraging a previously authenticated connection through a "mmBackup" application. This flaw allows attackers to bypass authentication mechanisms and gain unauthorized access to database with sensitive data.
This issue affects Asseco mMedica in versions before 11.9.5.
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-2025-9313?
CVE-2025-9313 is a known-severity vulnerability. It was published on October 28, 2025.
How severe is CVE-2025-9313?
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-2025-9313?
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-2025-9313?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-9313 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.