CVE-2016-6323
7.5 · HIGHOverview
CVE-2016-6323 is a high-severity vulnerability affecting gnu glibc. It was published on October 7, 2016 and has a CVSS 3.0 base score of 7.5 (HIGH).
This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
The makecontext function in the GNU C Library (aka glibc or libc6) before 2.25 creates execution contexts incompatible with the unwinder on ARM EABI (32-bit) platforms, which might allow context-dependent attackers to cause a denial of service (hang), as demonstrated by applications compiled using gccgo, related to backtrace generation.
Remediation
Check the references section for vendor advisories and patches from gnu. Update glibc 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-2016-6323?
CVE-2016-6323 is a high-severity vulnerability affecting gnu glibc. It was published on October 7, 2016 and has a CVSS 3.0 base score of 7.5 (HIGH).
How severe is CVE-2016-6323?
This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2016-6323?
Check the references section for vendor advisories and patches from gnu. Update glibc 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-2016-6323?
CyberStrike's AI-powered security agents can automatically detect CVE-2016-6323 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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