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CVE-2020-23282

7.5 · HIGH

SQL injection in Logon Page in MV's mConnect application, v02.001.00, allows an attacker to use a non existing user with a generic password to connect to the application and get access to unauthori…

Published Jul 21, 2021CWE-89EPSS 1.28%

Overview

CVE-2020-23282 is a high-severity vulnerability. It was published on July 21, 2021 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

SQL injection in Logon Page in MV's mConnect application, v02.001.00, allows an attacker to use a non existing user with a generic password to connect to the application and get access to unauthorized information.

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-2020-23282?

CVE-2020-23282 is a high-severity vulnerability. It was published on July 21, 2021 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2020-23282?

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-2020-23282?

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-2020-23282?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2020-23282 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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