CVE-2011-4789
Overview
CVE-2011-4789 is a known-severity vulnerability affecting hp diagnostics. It was published on January 13, 2012.
Technical Description
Stack-based buffer overflow in magentservice.exe in the server in HP LoadRunner 11.00 before patch 4 allows remote attackers to execute arbitrary code via a crafted size value in a packet. NOTE: it was originally reported that the affected product is HP Diagnostics Server, but HP states that "the vulnerable product is actually HP LoadRunner."
Remediation
Check the references section for vendor advisories and patches from hp. Update diagnostics 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-2011-4789?
CVE-2011-4789 is a known-severity vulnerability affecting hp diagnostics. It was published on January 13, 2012.
How severe is CVE-2011-4789?
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-2011-4789?
Check the references section for vendor advisories and patches from hp. Update diagnostics 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-2011-4789?
CyberStrike's AI-powered security agents can automatically detect CVE-2011-4789 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.