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CVE-2026-18886 – Unauthenticated Privilege Escalation – ServiceNow AI Platform (Xanadu, Yokohama, Zu

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Summary

CVE-2026-18886 is an improper access control vulnerability in the ServiceNow AI Platform’s system configuration image upload processor. It allows an unauthenticated user to create or modify instance data beyond what was intended, resulting in privilege escalation. The flaw carries the maximum severity rating and was disclosed by ServiceNow on August 27, 2026 alongside other critical AI Platform issues; ServiceNow states it is not aware of active exploitation.

Technical details

  • Root cause: Improper access control in the system configuration image upload processor of the ServiceNow AI Platform, which fails to properly restrict who can create or modify instance configuration data.
  • Trigger conditions: Exploitable "in certain circumstances" by a fully unauthenticated user sending requests to the image upload processor of an exposed instance; no user interaction is required.
  • Attack vector: Network — the affected functionality is reachable remotely without credentials.
  • Impact: Unauthorized creation or modification of instance data beyond intended scope, leading to privilege escalation on the affected ServiceNow instance.

Affected software

  • ServiceNow AI Platform, Xanadu family: versions before Patch 11 Hot Fix 7a
  • Yokohama family: versions before Patch 12 Hot Fix 3b and before Patch 13 Hot Fix 4
  • Zurich family: versions before Patch 7b Hot Fix 3, Patch 8 Hot Fix 5, Patch 9 Hot Fix 6, Patch 10 Hot Fix 2m, Patch 10 Hot Fix 3, Patch 11, or Patch 12
  • Australia family: versions before Patch 2 Hot Fix 3, Patch 3 Hot Fix 2, Patch 3m, Patch 4, or Patch 5

Severity

CVSS Score: 10.0 (Critical)
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Mitigation and recommended actions

  • Immediate: Apply the ServiceNow-provided security update for your release family (Xanadu, Yokohama, Zurich, or Australia) to reach the patch/hot fix levels listed above or later. ServiceNow-hosted instances have already received the fix; self-hosted and partner-hosted customers must apply it manually.
  • If patching is delayed: Restrict and monitor network access to the instance’s system configuration and image upload functionality, and review instance logs for unexpected configuration data changes until the patch is applied.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Response header server: snow_adc
  • Page title: ServiceNow

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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