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CVE-2017-7456

7.5 · HIGH
Published Apr 14, 2017 moxa CWE-20 EPSS 29.29% (98th pctl)

Overview

CVE-2017-7456 is a high-severity vulnerability affecting moxa mxview. It was published on April 14, 2017 and has a CVSS 3.0 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.0 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

Moxa MXView 2.8 allows remote attackers to cause a Denial of Service by sending overly long junk payload for the MXView client login credentials.

Remediation

Check the references section for vendor advisories and patches from moxa. Update mxview 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-2017-7456?

CVE-2017-7456 is a high-severity vulnerability affecting moxa mxview. It was published on April 14, 2017 and has a CVSS 3.0 base score of 7.5 (HIGH).

How severe is CVE-2017-7456?

This vulnerability has a CVSS 3.0 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-2017-7456?

Check the references section for vendor advisories and patches from moxa. Update mxview 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-2017-7456?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-7456 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.