CVE-2012-5483
Overview
CVE-2012-5483 is a known-severity vulnerability affecting openstack keystone. It was published on December 26, 2012.
Technical Description
tools/sample_data.sh in OpenStack Keystone 2012.1.3, when access to Amazon Elastic Compute Cloud (Amazon EC2) is configured, uses world-readable permissions for /etc/keystone/ec2rc, which allows local users to obtain access to EC2 services by reading administrative access and secret values from this file.
Remediation
Check the references section for vendor advisories and patches from openstack. Update keystone 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-2012-5483?
CVE-2012-5483 is a known-severity vulnerability affecting openstack keystone. It was published on December 26, 2012.
How severe is CVE-2012-5483?
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-2012-5483?
Check the references section for vendor advisories and patches from openstack. Update keystone 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-2012-5483?
CyberStrike's AI-powered security agents can automatically detect CVE-2012-5483 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.