CVE-2015-5277
Overview
CVE-2015-5277 is a known-severity vulnerability affecting redhat enterprise_linux_desktop. It was published on December 17, 2015.
Technical Description
The get_contents function in nss_files/files-XXX.c in the Name Service Switch (NSS) in GNU C Library (aka glibc or libc6) before 2.20 might allow local users to cause a denial of service (heap corruption) or gain privileges via a long line in the NSS files database.
Remediation
Check the references section for vendor advisories and patches from redhat. Update enterprise_linux_desktop 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 |
|---|---|---|---|
| gnu | glibc | 0 | Affected |
References
Frequently Asked Questions
What is CVE-2015-5277?
CVE-2015-5277 is a known-severity vulnerability affecting redhat enterprise_linux_desktop. It was published on December 17, 2015.
How severe is CVE-2015-5277?
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-2015-5277?
Check the references section for vendor advisories and patches from redhat. Update enterprise_linux_desktop 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-2015-5277?
CyberStrike's AI-powered security agents can automatically detect CVE-2015-5277 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.