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CVE-2017-12463

7.5 · HIGH
Published Feb 7, 2018 ccn-lite CWE-772 EPSS 1.35% (70th pctl)

Overview

CVE-2017-12463 is a high-severity vulnerability affecting ccn-lite ccn-lite. It was published on February 7, 2018 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 the ccnl_app_RX function in ccnl-uapi.c in CCN-lite before 2.00 allows context-dependent attackers to cause a denial of service (memory consumption) via vectors involving an envelope_s structure pointer when the packet format is unknown.

Remediation

Check the references section for vendor advisories and patches from ccn-lite. Update ccn-lite 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
ccn-lite ccn-lite >= 0, < 2.0.0 Affected

Frequently Asked Questions

What is CVE-2017-12463?

CVE-2017-12463 is a high-severity vulnerability affecting ccn-lite ccn-lite. It was published on February 7, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).

How severe is CVE-2017-12463?

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-2017-12463?

Check the references section for vendor advisories and patches from ccn-lite. Update ccn-lite 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-2017-12463?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-12463 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.