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CVE-2026-52837

Published Jul 14, 2026 CWE-200 EPSS 0.56% (45th pctl)

Overview

CVE-2026-52837 is a known-severity vulnerability. It was published on July 14, 2026.

Technical Description

Easy!Appointments is a self hosted appointment scheduler. In versions up to and including 1.5.2, the booking reschedule view at `/index.php/booking/reschedule/{appointment_hash}` (handled by `Booking::index()`) embeds the entire customer record as inline JavaScript (`const vars = {... "customer_data": {...}, ...}`) without authentication and without field whitelisting. Anyone in possession of the 12-character `appointment_hash` — which appears in plain text in reschedule emails, confirmation page URLs, and operator-side calendar links — can read every column of that customer's row in the `ea_users` table. Version 1.6.0 contains a patch.

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-2026-52837?

CVE-2026-52837 is a known-severity vulnerability. It was published on July 14, 2026.

How severe is CVE-2026-52837?

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-2026-52837?

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-2026-52837?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-52837 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.