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CVE-2016-9275

7.5 · HIGH
Published Mar 23, 2017 libdwarf_project CWE-787 EPSS 4.22% (90th pctl)

Overview

CVE-2016-9275 is a high-severity vulnerability affecting libdwarf_project libdwarf. It was published on March 23, 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

Heap-based buffer overflow in the _dwarf_skim_forms function in libdwarf/dwarf_macro5.c in Libdwarf before 20161124 allows remote attackers to cause a denial of service (out-of-bounds read).

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, < 2016-11-24 Affected

Frequently Asked Questions

What is CVE-2016-9275?

CVE-2016-9275 is a high-severity vulnerability affecting libdwarf_project libdwarf. It was published on March 23, 2017 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2016-9275?

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-2016-9275?

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-2016-9275?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-9275 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.