CVE-2014-3484
9.8 · CRITICALOverview
CVE-2014-3484 is a critical-severity vulnerability affecting musl-libc musl. It was published on February 20, 2020 and has a CVSS 3.1 base score of 9.8 (CRITICAL).
This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
Multiple stack-based buffer overflows in the __dn_expand function in network/dn_expand.c in musl libc 1.1x before 1.1.2 and 0.9.13 through 1.0.3 allow remote attackers to (1) have unspecified impact via an invalid name length in a DNS response or (2) cause a denial of service (crash) via an invalid name length in a DNS response, related to an infinite loop with no output.
Remediation
Check the references section for vendor advisories and patches from musl-libc. Update musl 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 |
|---|---|---|---|
| musl-libc | musl | 0.9.13 | Affected |
Frequently Asked Questions
What is CVE-2014-3484?
CVE-2014-3484 is a critical-severity vulnerability affecting musl-libc musl. It was published on February 20, 2020 and has a CVSS 3.1 base score of 9.8 (CRITICAL).
How severe is CVE-2014-3484?
This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2014-3484?
Check the references section for vendor advisories and patches from musl-libc. Update musl 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-2014-3484?
CyberStrike's AI-powered security agents can automatically detect CVE-2014-3484 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.
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