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Home/CyberSecurity News/BodySnatcher Vulnerability Lets Attackers Impersonate ServiceNow
CyberSecurity News

BodySnatcher Vulnerability Lets Attackers Impersonate ServiceNow

A critical vulnerability in ServiceNow’s Virtual Agent API and the Now Assist AI Agents application enables unauthenticated attackers to impersonate any user and remotely execute privileged AI...

Jennifer sherman
Jennifer sherman
January 19, 2026 3 Min Read
1 0

A critical vulnerability in ServiceNow’s Virtual Agent API and the Now Assist AI Agents application enables unauthenticated attackers to impersonate any user and remotely execute privileged AI agents.

Security researcher Aaron Costello from AppOmni disclosed the flaw, tracked as CVE-2025-12420, which combines a hardcoded platform-wide secret with insecure account-linking logic to bypass multi-factor authentication, single sign-on, and other access controls.

The vulnerability affects organizations using ServiceNow’s AI-powered automation features, potentially exposing sensitive customer data, financial records, healthcare information, and intellectual property.

 The authentication token used by every ServiceNow instance’s AI Agent Provider
 The authentication token used by every ServiceNow instance’s AI Agent Provider

An attacker armed only with a target’s email address can impersonate administrators and weaponize AI agents to create backdoor accounts with full system privileges, granting nearly unlimited access to enterprise resources.

CVE ID Affected Application Affected Versions Fixed Versions CVSS Score
CVE-2025-12420 Now Assist AI Agents (sn_aia) 5.0.24 – 5.1.17, 5.2.0 – 5.2.18 5.1.18, 5.2.19 Critical
CVE-2025-12420 Virtual Agent API (sn_va_as_service) ≤ 3.15.1, 4.0.0 – 4.0.3 3.15.2, 4.0.4 Critical

Exploitation Mechanism

The vulnerability exploits two critical design flaws in ServiceNow’s AI agent infrastructure.

First, AI agent channel providers shipped with identical authentication tokens across all customer instances, creating a universal authentication bypass.

The attack starts a Now Assist AI session while impersonating an admin.
The attack starts a Now Assist AI session while impersonating an admin.

Second, the auto-linking mechanism trusted any requester supplying the shared token along with a valid email address, automatically associating external entities with ServiceNow accounts without requiring multi-factor authentication.

Attackers can chain these weaknesses through the Virtual Agent API to impersonate privileged users and execute the now-removed Record Management AI agent.

In proof-of-concept demonstrations, researchers successfully created administrative accounts, assigned elevated privileges, reset passwords, and achieved full platform access without ever authenticating.

The attack works remotely against any ServiceNow instance running vulnerable application versions, even when affected AI agents remain active. AppOmni reported the vulnerability to ServiceNow on October 23, 2025.

The auto-linking action code for the AI Agent Providers
The auto-linking action code for the AI Agent Providers

ServiceNow acknowledged the issue immediately and deployed patches by October 30, 2025, rotating provider credentials and removing the powerful Record Management AI agent from customer environments.

The company issued customer notifications and published a knowledge base article, KB2587317, crediting Costello and AppOmni with the discovery.

The Account linking type for the AI Agent provider did not enforce MFA
The Account linking type for the AI Agent provider did not enforce MFA

Security teams should immediately verify that affected applications have been updated to the fixed versions.

Organizations must implement multi-factor authentication for account-linking processes, establish automated review workflows for AI agent deployments, and regularly audit dormant AI agents for deactivation.

ServiceNow administrators can leverage the AI Control Tower application to identify unused agents and enforce approval processes before production deployment.

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.

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AttackCVEExploitPatchSecurityVulnerability

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Jennifer sherman

Jennifer sherman

Jennifer is a cybersecurity news reporter covering data breaches, ransomware campaigns, and dark web markets. With a background in incident response, Jennifer provides unique insights into how organizations respond to cyber attacks and the evolving tactics of threat actors. Her reporting has covered major breaches affecting millions of users and has helped organizations understand emerging threats. Jennifer combines technical knowledge with investigative journalism to deliver in-depth coverage of cybersecurity incidents.

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