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CVE-2020-37093

7.5 · HIGH
Published Feb 3, 2026 CWE-201 EPSS 0.30% (22th pctl)

Overview

CVE-2020-37093 is a high-severity vulnerability. It was published on February 3, 2026 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

Netis E1+ 1.2.32533 contains an information disclosure vulnerability that allows unauthenticated attackers to retrieve WiFi passwords through the netcore_get.cgi endpoint. Attackers can send a GET request to the endpoint to extract sensitive network credentials including SSID and WiFi passwords in plain text.

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-2020-37093?

CVE-2020-37093 is a high-severity vulnerability. It was published on February 3, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2020-37093?

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-2020-37093?

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-2020-37093?

CyberStrike's AI-powered security agents can automatically detect CVE-2020-37093 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.