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CVE-2026-18885

Published Aug 27, 2026 CWE-94

Overview

CVE-2026-18885 is a known-severity vulnerability. It was published on August 27, 2026.

Technical Description

ServiceNow has remediated a code injection vulnerability that was identified in the ServiceNow AI platform. This vulnerability could enable an unauthenticated user, in certain circumstances, to execute arbitrary code in the ServiceNow platform and gain access to, or modify, instance data beyond what was intended. 

ServiceNow deployed a security update to hosted instances and ServiceNow provided the update to our partners and self-hosted customers. We are not currently aware of malicious exploitation against ServiceNow instances. 

We recommend customers promptly apply appropriate updates or upgrade to a patched release if they have not already done so.

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-2026-18885?

CVE-2026-18885 is a known-severity vulnerability. It was published on August 27, 2026.

How severe is CVE-2026-18885?

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-2026-18885?

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-2026-18885?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-18885 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.