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CVE-2017-16739

7.8 · HIGH
Published Jan 12, 2018 we-con CWE-121 EPSS 2.29% (82th pctl)

Overview

CVE-2017-16739 is a high-severity vulnerability affecting we-con levistudio_hmi_editor_firmware. It was published on January 12, 2018 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

An issue was discovered in WECON Technology LEVI Studio HMI Editor v1.8.29 and prior. Specially-crafted malicious files may be able to cause stack-based buffer overflow vulnerabilities, which may allow remote code execution.

Remediation

Check the references section for vendor advisories and patches from we-con. Update levistudio_hmi_editor_firmware 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
we-con levistudio_hmi_editor_firmware 0 Affected

Frequently Asked Questions

What is CVE-2017-16739?

CVE-2017-16739 is a high-severity vulnerability affecting we-con levistudio_hmi_editor_firmware. It was published on January 12, 2018 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-16739?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. 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-2017-16739?

Check the references section for vendor advisories and patches from we-con. Update levistudio_hmi_editor_firmware 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-2017-16739?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-16739 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.