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CVE-2020-7307

5.2 · MEDIUM

Unprotected Storage of Credentials vulnerability in McAfee Data Loss Prevention (DLP) for Mac prior to 11.5.2 allows local users to gain access to the RiskDB username and password via unprotected l…

Published Aug 13, 2020CWE-522EPSS 0.26%

Overview

CVE-2020-7307 is a medium-severity vulnerability. It was published on August 13, 2020 and has a CVSS 3.1 base score of 5.2 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.2, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical description

Unprotected Storage of Credentials vulnerability in McAfee Data Loss Prevention (DLP) for Mac prior to 11.5.2 allows local users to gain access to the RiskDB username and password via unprotected log files containing plain text credentials.

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.

References

Refkc.mcafee.com/corporate/index?page=content&id=SB10326Refkc.mcafee.com/corporate/index?page=content&id=SB10326

How CyberStrike helps

Frequently asked questions

What is CVE-2020-7307?

CVE-2020-7307 is a medium-severity vulnerability. It was published on August 13, 2020 and has a CVSS 3.1 base score of 5.2 (MEDIUM).

How severe is CVE-2020-7307?

This vulnerability has a CVSS 3.1 base score of 5.2, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2020-7307?

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-2020-7307?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2020-7307 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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