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CVE-2022-21159

7.5 · HIGH
Published Apr 15, 2022 mz-automation CWE-835 EPSS 1.80% (77th pctl)

Overview

CVE-2022-21159 is a high-severity vulnerability affecting mz-automation libiec61850. It was published on April 15, 2022 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

A denial of service vulnerability exists in the parseNormalModeParameters functionality of MZ Automation GmbH libiec61850 1.5.0. A specially-crafted series of network requests can lead to denial of service. An attacker can send a sequence of malformed iec61850 messages to trigger this vulnerability.

Remediation

Check the references section for vendor advisories and patches from mz-automation. Update libiec61850 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-2022-21159?

CVE-2022-21159 is a high-severity vulnerability affecting mz-automation libiec61850. It was published on April 15, 2022 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2022-21159?

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-2022-21159?

Check the references section for vendor advisories and patches from mz-automation. Update libiec61850 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-2022-21159?

CyberStrike's AI-powered security agents can automatically detect CVE-2022-21159 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.