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CVE-2017-9044

5.5 · MEDIUM

The print_symbol_for_build_attribute function in readelf.c in GNU Binutils 2017-04-12 allows remote attackers to cause a denial of service (invalid read and SEGV) via a crafted ELF file.

Published May 18, 2017CWE-125EPSS 1.62%

Overview

CVE-2017-9044 is a medium-severity vulnerability. It was published on May 18, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

The print_symbol_for_build_attribute function in readelf.c in GNU Binutils 2017-04-12 allows remote attackers to cause a denial of service (invalid read and SEGV) via a crafted ELF file.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. 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.

Frequently asked questions

What is CVE-2017-9044?

CVE-2017-9044 is a medium-severity vulnerability. It was published on May 18, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).

How severe is CVE-2017-9044?

This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. 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-2017-9044?

Check the references section for vendor advisories, patches, and mitigation guidance. 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-2017-9044?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-9044 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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