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CVE-2024-40096

3.3 · LOW
Published Aug 5, 2024 rd_labs_llc CWE-532 EPSS 0.16% (6th pctl)

Overview

CVE-2024-40096 is a low-severity vulnerability affecting rd_labs_llc who. It was published on August 5, 2024 and has a CVSS 3.1 base score of 3.3 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

The com.cascadialabs.who (aka Who - Caller ID, Spam Block) application 15.0 for Android places sensitive information in the system log.

Remediation

Check the references section for vendor advisories and patches from rd_labs_llc. Update who 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-2024-40096?

CVE-2024-40096 is a low-severity vulnerability affecting rd_labs_llc who. It was published on August 5, 2024 and has a CVSS 3.1 base score of 3.3 (LOW).

How severe is CVE-2024-40096?

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-40096?

Check the references section for vendor advisories and patches from rd_labs_llc. Update who 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-2024-40096?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-40096 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.