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CVE-2017-6436

5.0 · MEDIUM
Published Mar 15, 2017 libplist_project CWE-20 EPSS 0.51% (41th pctl)

Overview

CVE-2017-6436 is a medium-severity vulnerability affecting libplist_project libplist. It was published on March 15, 2017 and has a CVSS 3.0 base score of 5.0 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.0, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

The parse_string_node function in bplist.c in libimobiledevice libplist 1.12 allows local users to cause a denial of service (memory allocation error) via a crafted plist file.

Remediation

Check the references section for vendor advisories and patches from libplist_project. Update libplist 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

Frequently Asked Questions

What is CVE-2017-6436?

CVE-2017-6436 is a medium-severity vulnerability affecting libplist_project libplist. It was published on March 15, 2017 and has a CVSS 3.0 base score of 5.0 (MEDIUM).

How severe is CVE-2017-6436?

This vulnerability has a CVSS 3.0 base score of 5.0, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-6436?

Check the references section for vendor advisories and patches from libplist_project. Update libplist 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-2017-6436?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-6436 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.