CVE-2025-14192
7.3 · HIGHOverview
CVE-2025-14192 is a high-severity vulnerability. It was published on December 7, 2025 and has a CVSS 3.1 base score of 7.3 (HIGH).
This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
A vulnerability was found in RashminDungrani online-banking up to 2337ad552ea9d385b4e07b90e6f32d011b7c68a2. This affects an unknown part of the file /site/dist/auth_login.php. Performing manipulation of the argument Username results in sql injection. The attack can be initiated remotely. The exploit has been made public and could be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way.
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-2025-14192?
CVE-2025-14192 is a high-severity vulnerability. It was published on December 7, 2025 and has a CVSS 3.1 base score of 7.3 (HIGH).
How severe is CVE-2025-14192?
This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2025-14192?
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-2025-14192?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-14192 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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