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CVE-2025-50861

6.5 · MEDIUM
Published Aug 14, 2025 CWE-284 EPSS 0.33% (25th pctl)

Overview

CVE-2025-50861 is a medium-severity vulnerability. It was published on August 14, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The Lotus Cars Android app (com.lotus.carsdomestic.intl) 1.2.8 contains an exported component, PushDeepLinkActivity, which is accessible without authentication via ADB or malicious apps. This poses a risk of unintended access to application internals and can cause denial of service or logic abuse.

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-2025-50861?

CVE-2025-50861 is a medium-severity vulnerability. It was published on August 14, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2025-50861?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-50861?

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-2025-50861?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-50861 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.