Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2025-46552

Published Apr 29, 2025 CWE-200 EPSS 0.36% (29th pctl)

Overview

CVE-2025-46552 is a known-severity vulnerability. It was published on April 29, 2025.

Technical Description

KHC-INVITATION-AUTOMATION is a GitHub automation script that automatically invites followers of a bot account to join your organization. In some commits on version 1.2, a vulnerability was identified where user data, including email addresses and Discord usernames, were exposed in API responses without proper access controls. This allowed unauthorized users to access sensitive user information by directly calling specific endpoints. This issue has been patched in a later commit on version 1.2.

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-2025-46552?

CVE-2025-46552 is a known-severity vulnerability. It was published on April 29, 2025.

How severe is CVE-2025-46552?

CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.

How do I fix or remediate CVE-2025-46552?

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-2025-46552?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-46552 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.