CVE-2014-9459
Overview
CVE-2014-9459 is a known-severity vulnerability affecting e107 e107. It was published on January 2, 2015.
Technical Description
Cross-site request forgery (CSRF) vulnerability in the AdminObserver function in e107_admin/users.php in e107 2.0 alpha2 allows remote attackers to hijack the authentication of administrators for requests that add users to the administrator group via the id parameter in an admin action.
Remediation
Check the references section for vendor advisories and patches from e107. Update e107 to the latest patched version. 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.
Affected Products
| Vendor | Product | Versions | Status |
|---|
References
Frequently Asked Questions
What is CVE-2014-9459?
CVE-2014-9459 is a known-severity vulnerability affecting e107 e107. It was published on January 2, 2015.
How severe is CVE-2014-9459?
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-2014-9459?
Check the references section for vendor advisories and patches from e107. Update e107 to the latest patched version. 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-2014-9459?
CyberStrike's AI-powered security agents can automatically detect CVE-2014-9459 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.