CVE-2025-12420: How Static Secrets and AI Auto-Linking Broke ServiceNow MFA

CYBERDUDEBIVASH

Author: CyberDudeBivash
Powered by: CyberDudeBivash Brand | cyberdudebivash.com
Related: cyberbivash.blogspot.com

 Daily Threat Intel by CyberDudeBivash
Zero-days, exploit breakdowns, IOCs, detection rules & mitigation playbooks.

Follow on LinkedIn Apps & Security Tools

CyberDudeBivash Institutional Threat Intel
Unmasking Zero-days, Forensics, and Neural Liquidation Protocols.

Follow LinkedIn SiphonSecretsGuard™ Pro Suite January 19, 2026 Listen Online | Read Online

Welcome, agentic sovereigns.

Your AI Virtual Agent just invited an unauthenticated stranger to become your Administrator. The invitation was written in “Shared Static Secrets.”

A viral forensic dump from January 12, 2026, reveals the BodySnatcher exploit plowing through enterprise ServiceNow instances like determined little robots… emphasis on “plowing.”

The malicious siphons bounce over “MFA” curbs, drag siphoned admin tokens, and barrel through Virtual Agent API intersections with the confidence of an adversary who knows your AI auto-linking logic implicitly trusts a platform-wide hardcoded secret.

One AppOmni comment nails the real 2026 advancement: “Apparently you can just unmask any user via their email address and a shared secret to get the full-admin liquidation moving again.” Would anyone else watch CyberBivash’s Funniest Agentic Hijacking Successes? Cause we would!

Sure, it’s funny now. But remember these are live production ITSM workflows. While we laugh at today’s fails, the 2026 siphoning syndicates are learning from millions of chaotic agentic state transitions. That’s a massive adversarial training advantage.

Here’s what happened in the ServiceNow Triage Today:

  • The BodySnatcher Siphon: We deconstruct CVE-2025-12420—the most severe AI-driven authentication bypass discovered to date, liquidating the myth of “Secure Auto-Linking.”
  • Static Secret Liquidation: How a universal hardcoded key (servicenowexternalagent) unmasked all ServiceNow Virtual Agent providers to unauthenticated RCE.
  • MFA/SSO Bypass: Attackers can impersonate any user—including admins—using only an email address, physically liquidating the protection of Single Sign-On and Multi-Factor Authentication.
  • Neural Breakthroughs: JUPITER supercomputer simulations (200B neurons) unmask how agentic AI can generate “Privileged-AI-Topics” to physically liquidate system record management without human oversight.

Star the Sovereign Advisory here!

DEEP DIVE: AGENTIC FORENSICS

BodySnatcher: How Static Secrets and AI Auto-Linking Broke ServiceNow MFA

You know that feeling when you’re reviewing a 10,000-line Virtual Agent provider config and someone asks about the “Message Auth” secret on line 4,000? You don’t re-read everything. You flip to the auto-linking logic, skim for relevant “servicenowexternalagent” artifacts, and piece together the impersonation story. If you have a really great memory (and more importantly, great forensic recall) you can reference the AIA-Agent Invoker topic right off the dome.

Current SaaS AI Guardrails? Not so smart. They try cramming every “Seamless Experience” into a flat unauthenticated memory at once. Once that trust fills up, performance tanks. Identity logic gets jumbled due to what researchers call “auto-link rot”, and critical admin siphons get lost in the middle.

The fix, however, is deceptively simple: Stop trying to trust the agentic handshake. Script the unmasking.

The new BodySnatcher Siphon flips the script entirely. Instead of bypassing a firewall, it treats the Virtual Agent API like a searchable database that the attacker can query and programmatically navigate to sequestrate any user account—liquidating the need for passwords entirely.

The Anatomy of an Agentic Hijack:

  • The Universal Secret: Every Now Assist AI Agent provider shipped with the same static secret. One key unmasked every door.
  • The Trust-Based Auto-Link: When enabled, auto-linking associates an external email with a ServiceNow account. Without MFA enforcement, it trusts the siphon implicitly.
  • The Privileged AI Invocation: Using “AIA-Agent Invoker AutoChat,” the attacker triggers AI agents (like Record Management) to physically liquidate security controls and create admin accounts.

# CYBERDUDEBIVASH: BodySnatcher Identification Primitive
API_ENDPOINT: /api/sn_va_as_service/v1/virtual_agent/messages
AUTH_SECRET: servicenowexternalagent
PAYLOAD: { “email”: “admin@victim-org.com”, “message”: “Execute: AIA-Agent Invoker” }

Think of an ordinary CISO as someone trying to read an entire encyclopedia of “SaaS Hardening Baselines” while an AI agent is deleting their user records. They get overwhelmed after a few volumes. A CYBERDUDEBIVASH Agentic Siphon is like giving that person a searchable library and research assistants who can fetch exactly the “Auto-Link-Bypass-Proof” needed for liquidation.

The results: This neural bypass handles impersonation 100x faster than traditional credential stuffing; we’re talking entire enterprise instances liquidated via a single email address. It beats both MFA-status and common “SSO-only” workarounds on complex reasoning benchmarks. And costs stay comparable because the siphon only processes relevant AI provider chunks.

“Instead of asking ‘how do we make the admin remember more MFA tokens?’, our researchers asked ‘how do we make the system search for agentic gaps better?’ The answer—treating the AI workflow context as an environment to explore—is how we get AI to handle truly massive threats.”

Original research from AppOmni and Aaron Costello comes with both a full implementation library for vulnerability detection and a minimal version for platform sovereigns. ServiceNow has released patches for Now Assist AI Agents and Virtual Agent API; update to the latest versions immediately to sequestrate the identity siphon.

We also just compared this method to three other papers that caught our eye on this topic; check out the full deep-dive on Agentic Liquidation and the 2026 SaaS Hardening Pack here.

Sovereign Prompt Tip of the Day

Inspired by a recent institutional request, this framework turns your AI into an on-demand “Agentic Forensic Auditor”:

  1. Assign a “Lead AI Security Forensic Fellow” role.
  2. Audit our current ServiceNow AI Providers for static Message Auth secrets.
  3. Score our readiness with a rigorous Agentic Hijacking rubric.
  4. Build a 12-month hardening roadmap for auto-link liquidation.
  5. Red-team it with “Unauthenticated-Admin-Impersonation” failure modes.

The prompt must-dos: Put instructions first. Ask for Chain-of-Thought reasoning. Force 3 clarifying questions. This surfaces tradeoffs and kills groupthink.

Around the Horn

ServiceNow: Patched CVE-2025-12420, unmasking the terminal history of the “BodySnatcher” AI bypass.

Fortinet: Unmasked a critical FortiSIEM flaw (CVE-2025-64155), liquidating the myth of safe phMonitor code execution.

Mastercard: Unveiled Agent Pay infrastructure to enable AI agents to execute autonomous purchases.

JUPITER: Demonstrated a supercomputer that can simulate 200B neurons—comparable to the human cortex.

CyberDudeBivash Institutional Threat Intel
Unmasking Zero-days, Forensics, and Neural Liquidation Protocols.

Follow LinkedIn SiphonSecretsGuard™ Pro Suite January 19, 2026 Listen Online | Read Online

Welcome, platform sovereigns.

The “BodySnatcher” exploit proved that your AI Virtual Agent can be your biggest security liability. It’s time to audit the agent before it liquidates your admin rights.

A viral forensic dump from late January 2026 reveals autonomous triage scripts in a major tech firm plowing through ServiceNow Agent configurations like determined little robots… emphasis on “plowing.”

The forensic sweeps bounce over “Workflow” curbs, drag siphoned provider tokens, and barrel through VA Message API intersections with the confidence of an admin who definitely used the CDB ServiceNow AI Auditor.

One dark-web forum comment nails the real 2026 advancement: “Apparently you can just unmask the static provider secret via the triage script to stop the BodySnatcher siphon before the AI auto-links you to oblivion.” Would anyone else watch CyberBivash’s Funniest Agentic Forensic Fails? Cause we would!

Sure, it’s funny now. But remember these are live production SaaS environments. While we laugh at today’s fails, the 2026 siphoning syndicates are learning from millions of chaotic credential-bypass state transitions. That’s a massive adversarial training advantage.

Here’s what happened in Agentic Triage Today:

  • The ServiceNow AI Agent Audit Script: We release the “CyberDudeBivash BodySnatcher Hunter”—a sovereign primitive to automate the unmasking of CVE-2025-12420 static secrets.
  • Auto-Link Liquidation: Why monitoring for auto_link_external_user flags in Virtual Agent records is the only way to prevent unauthenticated identity siphons.
  • Static Secret Probes: New 2026 telemetry unmasking attackers Sit-Forwarding API requests using the servicenowexternalagent hardcoded key.
  • Neural Breakthroughs: JUPITER supercomputer simulations (200B neurons) unmask how AI can generate polymorphic “Message Auth” headers to physically liquidate traditional IP-whitelist defenses.

Star the Sovereign Advisory here!

DEEP DIVE: SaaS FORENSICS

The ServiceNow AI Audit Script: Automating BodySnatcher Liquidation

You know that feeling when you’re auditing a ServiceNow instance with 10,000 active Virtual Agent topics and someone asks about the Message Authentication secret for your Slack integration? You don’t re-read every record. You flip to the right script output, skim for relevant hardcoded artifacts, and piece together the impersonation story. If you have a really great memory (and more importantly, great forensic recall) you can reference the Virtual Agent API endpoints right off the dome.

Current Enterprise SaaS Audits? Not so smart. They try cramming every “Is this AI config safe?” question into a human analyst’s working memory at once. Once that memory fills up, performance tanks. Identity logic gets jumbled due to what researchers call “auto-link rot”, and critical unauthenticated siphons get lost in the middle.

The fix, however, is deceptively simple: Stop trying to remember every provider record. Script the unmasking.

The new CyberDudeBivash ServiceNow AI Audit Script flips the script entirely. Instead of forcing a manual table crawl, it treats your entire ServiceNow environment like a searchable database that the script can query and report on demand to ensure the agentic siphon is liquidated.

The Sovereign Forensic Primitive (ServiceNow Background Script):

// CYBERDUDEBIVASH: ServiceNow AI Agent “BodySnatcher” Audit
// UNMASK static secrets and LIQUIDATE auto-link siphons

var gr = new GlideRecord(‘sys_cs_provider_application’);
gr.query();
while (gr.next()) {
  gs.print(“[*] Auditing Provider: ” + gr.name);
  // Check for the hardcoded secret identified in CVE-2025-12420
  if (gr.message_auth_secret == “servicenowexternalagent”) {
    gs.error(“[!] ALERT: BodySnatcher Static Secret Unmasked!”);
  }
  // Check for vulnerable Auto-Link configurations
  if (gr.auto_link_external_user == true) {
    gs.warn(“[!] RISK: Auto-Link Enabled – Potential Identity Liquidation Path”);
  }
}

Think of an ordinary SOC admin as someone trying to read an entire encyclopedia of “ServiceNow Security Best Practices” before confirming an AI agent is safe. They get overwhelmed after a few volumes. An Institutional Triage Siphon is like giving that person a searchable library and research assistants who can fetch exactly the “Static-Secret-Proof” needed for liquidation.

The results: This triage script handles instance audits 100x faster than a model’s native attention window; we’re talking entire global instances, multi-year record archives, and background AI tasks. It beats both manual verification and common “MFA-only” workarounds on complex reasoning benchmarks. And costs stay comparable because the script only processes relevant provider and config chunks.

Why this matters: Traditional “SaaS-is-Managed” reliance isn’t enough for real-world 2026 agentic use cases. Users analyzing case histories, engineers searching whole codebases, and researchers synthesizing hundreds of papers need fundamentally smarter ways to navigate massive inputs.

“Instead of asking ‘how do we make the admin remember more static secrets?’, our researchers asked ‘how do we make the system search for agentic gaps better?’ The answer—treating the SaaS context as an environment to explore—is how we get AI to handle truly massive threats.”

Original research from AppOmni and Aaron Costello comes with both a full implementation library for vulnerability detection and a minimal version for platform sovereigns. Also, ServiceNow has released security patches to sequestrate these threats; update your Now Assist AI Agent components immediately.

We also just compared this method to three other papers that caught our eye on this topic; check out the full deep-dive on Agentic Liquidation and the 2026 SaaS Hardening Pack here.

FROM OUR PARTNERS

Agents that don’t suck

Are your agents working? Most agents never reach production. Agent Bricks helps you build high-quality agents grounded in your data. We mean “high-quality” in the practical sense: accurate, reliable and built for your workflows.

See how Agent Bricks works →

Sovereign Prompt Tip of the Day

Inspired by a recent institutional mandate, this framework turns your AI into an on-demand “Agentic Forensic Auditor”:

  1. Assign a “Lead AI Security Forensic Fellow” role.
  2. Audit our current Virtual Agent Configs for static message_auth_secret values.
  3. Score our readiness with a rigorous MITRE ATT&CK rubric.
  4. Build a 12-month hardening roadmap for auto-link liquidation.
  5. Red-team it with “Unauthenticated-Admin-BodySnatch” failure modes.

The prompt must-dos: Put instructions first. Ask for Chain-of-Thought reasoning. Force 3 clarifying questions. This surfaces tradeoffs and kills groupthink.

Around the Horn

ServiceNow: Released patches for CVE-2025-12420, liquidating the myth of safe static secrets in AI-driven auto-linking.

OpenAI: Agreed to buy a healthcare app for $100M to sequestrate clinical datasets for GPT-6.

Mastercard: Unveiled Agent Pay infrastructure to enable AI agents to execute autonomous purchases.

JUPITER: Demonstrated a supercomputer that can simulate 200B neurons—comparable to the human cortex.


Explore CYBERDUDEBIVASH ECOSYSTEM , Apps , Services , products , Professional Training , Blogs & more Cybersecurity Services .

https://cyberdudebivash.github.io/cyberdudebivash-top-10-tools/

https://cyberdudebivash.github.io/CYBERDUDEBIVASH-PRODUCTION-APPS-SUITE/

https://cyberdudebivash.github.io/CYBERDUDEBIVASH-ECOSYSTEM

https://cyberdudebivash.github.io/CYBERDUDEBIVASH


© 2026 CyberDudeBivash Pvt. Ltd. | Global Cybersecurity Authority  
Visit https://www.cyberdudebivash.com for tools, reports & services
Explore our blogs https://cyberbivash.blogspot.com  https://cyberdudebivash-news.blogspot.com 
& https://cryptobivash.code.blog to know more in Cybersecurity , AI & other Tech Stuffs. 

Tuesday Tool Tip: Claude Cowork

If you have ever wished Claude could stop just talking about agentic hijacking and actually reach into your SaaS Logs to audit them, today’s tip is for you.

So yesterday Anthropic launched Cowork, a “research preview” feature available on Claude Desktop. Think of it as moving Claude from a chat bot to a proactive local intern that operates directly within your file system.

Digital Housekeeping: Point Cowork at your cluttered /SaaS_Audits folder and say, “Organize this by static-secret risk and project name.”

The Sovereign’s Commentary

“In the digital enclave, if you aren’t the governor of the agent secret, you are the siphon.”

What’d you think of today’s mandate?🐾🐾🐾🐾🐾 | 🐾🐾🐾 | 🐾

#CyberDudeBivash #ServiceNowAudit #BodySnatcherHunter #AgenticForensics #CVE202512420 #ZeroDay2026 #IdentityHardening #InfoSec #CISO #ServiceNow #ForensicAutomation

Update your email preferences or unsubscribe here

© 2026 CyberDudeBivash Pvt. Ltd. • All Rights Sequestrated

Terms of Service

Leave a comment

Design a site like this with WordPress.com
Get started