ServiceNow Patches Critical AI Flaw Allowing User Takeover

Article Highlights
Off On

The very AI tools designed to streamline corporate operations and enhance productivity could have become the most devastating insider threat, wielded by an outsider with no credentials. This high-stakes scenario became a reality with the discovery of a critical vulnerability in ServiceNow’s AI Platform, a flaw that did not just expose data but allowed for the complete takeover of user identities within an organization’s digital ecosystem. The incident serves as a stark reminder of the security challenges that accompany the rapid integration of artificial intelligence into core business functions.

When a Trusted Assistant Becomes an Ultimate Backdoor

The vulnerability presented a chilling question for cybersecurity professionals and business leaders alike: What happens when an organization’s most trusted AI platform can be turned against it? Unlike common vulnerabilities that might lead to data exfiltration, this flaw granted an attacker the ability to impersonate any user, from a junior employee to a high-level executive. This level of access transforms a system from a productivity tool into a powerful weapon for corporate espionage or sabotage.

An attacker exploiting this flaw would not need to steal credentials or trick a user into clicking a malicious link. Instead, they could operate as a ghost in the machine, executing commands and accessing sensitive information with the full authority of the compromised account. Such an attack could go undetected for an extended period, as the malicious actions would appear to be legitimate activities performed by an authorized user, making forensic analysis incredibly difficult.

The Double-Edged Sword of AI in the Modern Enterprise

The widespread adoption of AI-powered platforms like ServiceNow underscores a fundamental shift in business operations toward automation and intelligent workflow management. These systems are often deeply integrated, acting as a central hub for everything from IT service requests to human resources and customer relationship management. This centralization boosts efficiency but also creates a significant single point of failure. A security flaw in such a central, integrated system poses an outsized risk to an entire organization. Compromising the core platform means an attacker gains a foothold across numerous business units simultaneously, magnifying the potential for damage. This incident connects to broader industry concerns about the security and exploitability of emerging AI technologies, highlighting the urgent need for robust security protocols to be built into AI systems from the ground up, rather than being treated as an afterthought.

Anatomy of a Critical Flaw CVE-2025-12420

The vulnerability, formally tracked as CVE-2025-12420, was identified as a critical flaw enabling unauthenticated user impersonation within the ServiceNow AI Platform. Its severity was officially rated with a Common Vulnerability Scoring System (CVSS) score of 9.3 out of a possible 10, a classification reserved for vulnerabilities that are easily exploitable and can lead to a complete compromise of system confidentiality, integrity, and availability.

The specific components affected were the “Now Assist AI Agents” (sn_aia) and “Virtual Agent API” (sn_va_as_service) applications, two key elements of ServiceNow’s AI-driven customer and employee support tools. The potential outcome of a successful exploit was severe: an attacker could execute any action with the privileges of the impersonated user. This includes accessing, modifying, or deleting sensitive records, approving requests, and initiating workflows, effectively granting them control over a significant portion of the organization’s operations.

Why ‘BodySnatcher’ Is a Landmark AI Security Event

The discovery was made by researchers at the SaaS security firm AppOmni, who nicknamed the flaw “BodySnatcher” due to its ability to let an attacker inhabit a user’s digital identity. In their analysis, the firm labeled it the “most severe AI-driven vulnerability uncovered to date,” a statement that underscores the unique and dangerous nature of this particular exploit compared to previous security issues.

The “BodySnatcher” moniker aptly describes how the flaw allows an attacker to remotely control a legitimate user’s account and weaponize enterprise tools against the organization itself. Following industry best practices, AppOmni followed a responsible disclosure process, privately reporting the issue to ServiceNow in October 2025. This allowed the platform provider time to develop and test a patch before the vulnerability became public knowledge, preventing widespread exploitation by malicious actors.

The Swift Response and the Ongoing Race to Patch

In response to AppOmni’s private disclosure, ServiceNow initiated a swift and decisive remediation process. The company rapidly deployed a security update to the vast majority of its hosted instances on October 30, 2025, neutralizing the threat for most of its customer base. Concurrently, patches were made available to partners and customers who manage their own self-hosted instances of the platform.

While the prompt action mitigated the immediate risk for many, the threat is not entirely eliminated. Customers on ServiceNow-hosted instances are advised to verify that the patch has been applied, while those managing self-hosted environments must apply the provided updates with urgency. Experts caution that a significant risk remains for unpatched systems, as cybercriminals often reverse-engineer security patches to develop working exploits, creating a race between IT teams applying fixes and attackers seeking to compromise vulnerable organizations. The incident underscored the critical importance of both rapid vendor response and diligent customer patching in maintaining enterprise security.

Explore more

AI Redefines the Data Engineer’s Strategic Role

A self-driving vehicle misinterprets a stop sign, a diagnostic AI misses a critical tumor marker, a financial model approves a fraudulent transaction—these catastrophic failures often trace back not to a flawed algorithm, but to the silent, foundational layer of data it was built upon. In this high-stakes environment, the role of the data engineer has been irrevocably transformed. Once a

Generative AI Data Architecture – Review

The monumental migration of generative AI from the controlled confines of innovation labs into the unpredictable environment of core business operations has exposed a critical vulnerability within the modern enterprise. This review will explore the evolution of the data architectures that support it, its key components, performance requirements, and the impact it has had on business operations. The purpose of

Is Data Science Still the Sexiest Job of the 21st Century?

More than a decade after it was famously anointed by Harvard Business Review, the role of the data scientist has transitioned from a novel, almost mythical profession into a mature and deeply integrated corporate function. The initial allure, rooted in rarity and the promise of taming vast, untamed datasets, has given way to a more pragmatic reality where value is

Trend Analysis: Digital Marketing Agencies

The escalating complexity of the modern digital ecosystem has transformed what was once a manageable in-house function into a specialized discipline, compelling businesses to seek external expertise not merely for tactical execution but for strategic survival and growth. In this environment, selecting a marketing partner is one of the most critical decisions a company can make. The right agency acts

AI Will Reshape Wealth Management for a New Generation

The financial landscape is undergoing a seismic shift, driven by a convergence of forces that are fundamentally altering the very definition of wealth and the nature of advice. A decade marked by rapid technological advancement, unprecedented economic cycles, and the dawn of the largest intergenerational wealth transfer in history has set the stage for a transformative era in US wealth