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CVE-2026-38719

6.2 · MEDIUM

OpENer v2.3-558-g1e99582 contains an out-of-bounds read vulnerability in the Common Packet Format (CPF) parser, specifically in CreateCommonPacketFormatStructure() in source/src/enet_encap/cpf.c.

Published May 18, 2026CWE-125EPSS 0.16%

Overview

CVE-2026-38719 is a medium-severity vulnerability. It was published on May 18, 2026 and has a CVSS 3.1 base score of 6.2 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.2, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

OpENer v2.3-558-g1e99582 contains an out-of-bounds read vulnerability in the Common Packet Format (CPF) parser, specifically in CreateCommonPacketFormatStructure() in source/src/enet_encap/cpf.c. A crafted ENIP/CPF message can supply an attacker-controlled item_count value that is not consistently validated against the remaining data_length of the CPF slice

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-2026-38719?

CVE-2026-38719 is a medium-severity vulnerability. It was published on May 18, 2026 and has a CVSS 3.1 base score of 6.2 (MEDIUM).

How severe is CVE-2026-38719?

This vulnerability has a CVSS 3.1 base score of 6.2, 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-2026-38719?

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-2026-38719?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-38719 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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