FaceStealer: The Fake Zoom Meeting Scam Behind $400M Stolen

Categories: Deepfake,Published On: November 13th, 2026,
  • Breacher.ai threat briefing banner reading FaceStealer, fake Zoom calls, stolen with faces that were real, above a row of recorded video call tiles where each victim becomes the next lure, broken by a green gate labeled verify out of band.
Threat Briefing: FaceStealer

FaceStealer: The Fake Zoom Meeting Scam That Stole $400 Million, Using Faces That Were Real

The FBI says North Korean hackers stole more than $400 million in 18 months by inviting crypto founders and executives to fake Zoom and Teams calls, sent from the hijacked accounts of people they knew. The faces on those calls were mostly genuine recordings. Here is how the chain works, why spotting a fake would not have stopped it, and the procedure that does.

The face on the call was real. The person was not there. A verification step gives the same answer either way.

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What is the FaceStealer fake Zoom meeting scam?

Short answer

FaceStealer is a fake Zoom meeting scam that the FBI says North Korean hackers used to steal more than $400 million in cryptocurrency in 18 months. Invitations arrive from hijacked accounts of people the target knows. On the call, genuine recordings of those contacts play, and an invented audio problem leads the target to run malware.

$400M+

in cryptocurrency stolen through FaceStealer in 18 months, per the FBI

900+

victim webcam recordings seized by the FBI, each one a ready-made lure

677

targets in 58 countries tracked by Arctic Wolf, more than 80% of them founders or C-suite

The FBI announced the scheme on November 12, 2026, and attributed it to a North Korean cluster tracked as Sapphire Sleet, or UNC1069, a group separate from the military hackers it linked to the recent Binance theft. Along with the recordings, the FBI seized the cloud infrastructure behind the campaign. The scheme reaches its targets through the oldest trust signal there is: a message from someone you know, followed by a face you recognize.

How the fake Zoom meeting scam works, step by step

FaceStealer is a loop. Each victim supplies the account, the contact list and the recorded face used against the next one.

STEP 01

Compromise one person and record them

Every chain starts with a real victim. The operators take over that person’s wallets and messaging accounts, such as Telegram, lock them out, read their contacts and chat history, and secretly record their webcam during a video call.

STEP 02

Message their contacts from the hijacked account

The invitation comes from someone the target already trusts. Writing as the victim, the operators propose a Zoom or Teams meeting about an investment opportunity, inside a conversation history that is entirely genuine.

STEP 03

Schedule it, then swap in a look-alike link

The booking looks routine. A Calendly invite arrives first. Shortly before the meeting, the hijacked account sends the real meeting link, which points to a typosquatted domain built to look like Zoom or Teams.

STEP 04

Stage the call with recordings of real people

The target sees a familiar face. The page plays the recorded webcam video of the trusted contact, plus other recordings to suggest more participants. The FBI says some calls now add AI-generated video of well-known crypto figures, but the scheme still relies mainly on genuine recordings.

STEP 06

Record the new victim and repeat

The target becomes the next lure. Their webcam stream is recorded while they wait on the call, and their accounts are used against their own contacts. The FBI says some thefts came months, or more than a year, after the first breach, once wallet balances had grown.

Step five is the consequential action. Everything before it builds enough trust that running a command to fix a call feels like ordinary troubleshooting. It is the same pattern behind the $11 million UXLINK deepfake video call, and it fits a growing list of deepfake attack examples where a familiar face replaced every other check.

Why spotting a deepfake would not have stopped FaceStealer

Most advice on fake video calls tells people to look for glitches: odd blinking, lip-sync drift, strange lighting. Against FaceStealer that advice has nothing to work with. The FBI says the scheme relies mainly on genuine recordings. The face is the real contact. The voice is theirs. The chat history is theirs. There is no artifact to find.

Perception check

“Does this look and sound like my contact?” Against a genuine recording, the honest answer is yes, and the check passes the adversary straight through.

Procedure check

“Did I confirm this meeting through a channel I already trust, and did I join through the official app?” The answer does not change with the quality of the video.

This is what we call Synthetic Normalization: plausibility beats fidelity. A face only has to be plausible in context to be trusted, and a real recording inside a real conversation is as plausible as it gets. It is why we argue that deepfake detection training is a decaying control when it depends on human perception.

Technical controls are a different story, and they matter here. Endpoint protection that flags a script pasted into a terminal, application control that blocks unsigned installers, and wallet and payment platforms that require strong authentication all hold their value regardless of how convincing the call is. FaceStealer is built to get a person to switch those defenses off by hand, which is why the human procedure in front of them has to hold too.

A face on a call is not a credential. Treat an unexpected invite like an unknown sender, however well you know the name on it.

The FBI guidance, and the control behind each step

The FBI published three pieces of advice with the announcement. Each one is a procedure, not a perception test.

FBI adviceThe control it isStep it breaks
Confirm unexpected meeting invitations through a separate channelOut-of-band verification bound to the request, not to the sender’s accountStep 02, the invite from a hijacked contact
Join through the official app using the meeting codeA known-good path that never follows a link from the inviteStep 03, the look-alike meeting domain
Keep your webcam off until you can see, hear and speak with the person who invited youA live, two-way check before you give anything upStep 06, the recording that becomes the next lure

FBI guidance as reported by BNO News. Campaign detail from Reuters and The Hacker News.

We would add one rule the chain makes obvious: nobody runs a script, pastes a command or installs a component to fix a meeting. A real Zoom, Teams or Meet problem is solved by rejoining through the official app or calling IT on a known number. That single rule breaks step five, the only step that actually costs money.

This is not only a crypto problem

The FBI says FaceStealer primarily targeted cryptocurrency and Web3 professionals, because that is where a single compromised laptop can empty a wallet. The method transfers to any organization. Every company runs on meeting invites from known contacts, and every company has consequential actions a compromised device can reach: a payment approval, a credential reset, access to a production system.

  • Treat the invite as the request. An unexpected meeting about money, access or software is confirmed on a channel already on file before anyone joins.
  • Remove the fix from the call. Write down that meeting problems are never solved by running code on request, and give people a known IT number to call instead.
  • Make reporting the easy path. A person who reports a strange invite from a colleague may be the first to know that colleague’s account has been taken over. Blameless, fast reporting turns one victim into an early warning.

The data behind the average cost of a deepfake attack points the same way. The loss is set by the action the adversary reaches and by whether a verification step stands in front of it, not by how good the fake looks.

How Breacher.ai tests whether your meeting procedures hold

Written procedures are a start. The question that matters is whether they run when a familiar name sends an urgent invite and a familiar face is waiting on the call. Breacher.ai answers that with authorized, orchestrated social engineering simulations from our OSES™ engine, combining email, messaging, live two-way AI voice and interactive video avatars that join real Teams, Zoom and Meet meetings, adapting each step to how your people respond, all the way to the consequential action.

Meeting-based scenarios run through our deepfake simulation and Microsoft Teams impersonation simulation, all on the Breacher.ai simulation platform.

Measure your risk.
Train for what you find.
Prove it changed.

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Frequently asked questions

FaceStealer is a fake Zoom meeting scam that the FBI says North Korean hackers used to steal more than $400 million in cryptocurrency in 18 months. Invitations arrive from hijacked accounts of people the target knows. On the call, genuine recordings of those contacts play, and an invented audio problem leads the target to run malware.

JT

Jason ThatcherFounder and CEO of Breacher.ai and creator of OSES™. Fifteen years in security operations and offensive testing, previously at ZeroFox, Deepwatch, and GuidePoint Security. He builds the platform that runs orchestrated social engineering simulations, from OSINT-driven pretexts to AI voice and live deepfake video, for enterprise security teams worldwide.

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Thirty minutes. We show you how a meeting-based simulation runs against your own procedures, and which verification step would have stopped FaceStealer.

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About the Author: Jason Thatcher

Jason Thatcher is the Founder of Breacher.ai and comes from a long career of working in the Cybersecurity Industry. His past accomplishments include winning Splunk Solution of the Year in 2022 for Security Operations.

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