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CVE-2026-113604

5.5 · MEDIUM

Ghidra 10.2 through 12.1.4 contains a denial of service vulnerability in the ELF loader's ElfHeader class that allocates arrays sized by unvalidated extended section and program header counts.

Published Oct 20, 2026CWE-789EPSS 0.16%

Overview

CVE-2026-113604 is a medium-severity vulnerability. It was published on October 20, 2026 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.1 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

Ghidra 10.2 through 12.1.4 contains a denial of service vulnerability in the ELF loader's ElfHeader class that allocates arrays sized by unvalidated extended section and program header counts. Attackers can supply a crafted 128-byte ELF file that triggers an OutOfMemoryError during load-spec discovery at import or in headless analysis pipelines.

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-2026-113604?

CVE-2026-113604 is a medium-severity vulnerability. It was published on October 20, 2026 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

How severe is CVE-2026-113604?

This vulnerability has a CVSS 3.1 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-2026-113604?

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-2026-113604?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-113604 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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