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CVE-2016-5041

7.5 · HIGH
Published Apr 10, 2017 libdwarf_project CWE-476 EPSS 3.37% (88th pctl)

Overview

CVE-2016-5041 is a high-severity vulnerability affecting libdwarf_project libdwarf. It was published on April 10, 2017 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 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

dwarf_macro5.c in libdwarf before 20160923 allows remote attackers to cause a denial of service (NULL pointer dereference) via a debugging information entry using DWARF5 and without a DW_AT_name.

Remediation

Check the references section for vendor advisories and patches from libdwarf_project. Update libdwarf 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
libdwarf_project libdwarf >= 1999-12-14, < 2016-09-23 Affected

Frequently Asked Questions

What is CVE-2016-5041?

CVE-2016-5041 is a high-severity vulnerability affecting libdwarf_project libdwarf. It was published on April 10, 2017 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2016-5041?

This vulnerability has a CVSS 3.1 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-2016-5041?

Check the references section for vendor advisories and patches from libdwarf_project. Update libdwarf 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-2016-5041?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-5041 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.