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CVE-2017-16830

7.8 · HIGH
Published Nov 15, 2017 gnu CWE-190 EPSS 2.20% (81th pctl)

Overview

CVE-2017-16830 is a high-severity vulnerability affecting gnu binutils. It was published on November 15, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

The print_gnu_property_note function in readelf.c in GNU Binutils 2.29.1 does not have integer-overflow protection on 32-bit platforms, which allows remote attackers to cause a denial of service (segmentation violation and application crash) or possibly have unspecified other impact via a crafted ELF file.

Remediation

Check the references section for vendor advisories and patches from gnu. Update binutils 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-2017-16830?

CVE-2017-16830 is a high-severity vulnerability affecting gnu binutils. It was published on November 15, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-16830?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-16830?

Check the references section for vendor advisories and patches from gnu. Update binutils 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-2017-16830?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-16830 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.