CVE-2016-5368
7.5 · HIGHOverview
CVE-2016-5368 is a high-severity vulnerability affecting huawei ar3200. It was published on June 30, 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
Memory leak in Huawei AR3200 before V200R007C00SPC900 allows remote attackers to cause a denial of service (memory consumption) via a large number of crafted Multiprotocol Label Switching (MPLS) packets.
Remediation
Check the references section for vendor advisories and patches from huawei. Update ar3200 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 |
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Frequently Asked Questions
What is CVE-2016-5368?
CVE-2016-5368 is a high-severity vulnerability affecting huawei ar3200. It was published on June 30, 2016 and has a CVSS 3.0 base score of 7.5 (HIGH).
How severe is CVE-2016-5368?
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-2016-5368?
Check the references section for vendor advisories and patches from huawei. Update ar3200 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-2016-5368?
CyberStrike's AI-powered security agents can automatically detect CVE-2016-5368 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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