CVE-2026-18695: Improper Input Validation in MongoDB Timeseries Query Processing Leads to Denial of Service

Published Aug 11, 2026
·
Updated

An issue in MongoDB Server's handling of certain query predicates against time-series collections with a metaField could allow an authenticated user with write access to cause the server process to terminate unexpectedly, resulting in a denial of service.

Affected Software

1 affected component
MongoDB MongoDB Server

Event History

Aug 11, 2026
CVE Published
via MITRE·06:35 PM
Data Sourced
via MITRE·06:35 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·07:17 PM
DescriptionSeverityWeakness
Free Weekly Intel

Don't miss critical vulnerabilities

Join thousands of security professionals who receive our weekly digest of trending CVEs, zero-days, and exploited vulnerabilities.

No spam. Unsubscribe anytime.

Frequently Asked Questions

1

What is the severity of CVE-2026-18695?

The severity of CVE-2026-18695 is rated as medium with a score of 6.5.

2

How do I fix CVE-2026-18695?

To fix CVE-2026-18695, you should apply the latest security updates provided by MongoDB.

3

What type of vulnerability is CVE-2026-18695?

CVE-2026-18695 is categorized as an improper input validation vulnerability.

4

What impact does CVE-2026-18695 have on MongoDB?

CVE-2026-18695 can lead to a denial of service by allowing an authenticated user to terminate the server process.

5

Who is affected by CVE-2026-18695?

CVE-2026-18695 affects MongoDB servers handling time-series collections with a metaField, specifically those allowing authenticated users with write access.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203