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Funds stolen through scams, account takeover or payment fraud rarely need to remain in the first receiving account. They may move through several money mule accounts, split across different beneficiaries, converge again and eventually be withdrawn, spent or converted into another form of value. That creates a money mule chain.
For financial institutions, the challenge is not simply identifying one suspicious recipient. It is understanding what happens after the first payment, which accounts are connected and where the proceeds ultimately leave the network.
Recent FCA analysis illustrates why this matters. In the cases examined, fraud proceeds sometimes travelled through long mule chains, but cash-out activity was concentrated mainly between the second and fifth mule accounts, with the greatest concentration at the second account.
The opportunity for detection therefore exists well beyond the first mule.
What Is a Money Mule?
A money mule is a person or account used to receive, transfer or withdraw criminal funds on behalf of another party.
Some mules participate knowingly in return for payment. Others are recruited through fake jobs, social-media messages, romance scams or promises of easy money. These accounts can become part of wider money mule networks, where criminals coordinate the movement of funds between victims, mule accounts and eventual cash-out points. Criminals may also take over legitimate accounts or create accounts using fraudulent identities.
What connects these situations is the role the account plays: it helps create distance between the original fraud and the people ultimately controlling the proceeds.
That is why mule activity sits between fraud and money laundering. Fraud generates the proceeds. Mule accounts help move them.
ZIGRAM’s mule account detection guide looks more closely at how synthetic identities, compromised accounts and behavioural changes can indicate mule activity.
How Do Money Mule Chains Work?
Money mule chains do not always follow the same route, but the movement of funds usually has a recognisable structure.
1. Fraud proceeds enter the first mule account
A victim sends money, or stolen funds are transferred, into an account being used as a mule. The transaction itself may not look extraordinary, especially when recruiters gain access by collecting account details or even asking for online login credentials tied to the first bank account. The account may belong to a genuine customer and may even have a history of normal activity. The risk becomes clearer when the money begins to move again.
2. Funds move through additional mule accounts
Instead of going directly to the final beneficiary, funds can be transferred through other accounts. Mules are often used to move money through more than one bank account to create more distance from the original fraud.
A simple chain might look like: Victim → Mule 1 → Mule 2 → Mule 3 → Cash-out
But real networks can be less linear. Money may be split across several mule accounts, moved through different payment channels or sent to multiple recipients before converging again.
Each additional step creates more distance from the original fraud.
3. Funds split or consolidate
This is where individual transaction monitoring can lose sight of the bigger picture.
One mule may divide an incoming payment among several accounts. Several mules may also send funds towards the same beneficiary or consolidation account.
Consider five accounts that appear unrelated but repeatedly transfer funds to the same two recipients. Looking at the five accounts separately may produce five ordinary-looking alerts.
Looking at the relationships reveals a network.
RUSI’s research into the movement of cybercrime proceeds similarly highlights the importance of tracing funds through chains of mule accounts rather than treating each account as an isolated event.
4. The proceeds are cashed out
Eventually, the criminal network needs to use or extract the value.
The FCA found that card payments via a bank card were the most common cash-out method in the cases it analysed. Cash withdrawals, international transfers and cryptocurrency also appeared as routes through which proceeds left mule chains.
The cash-out stage matters because it can reveal where apparently separate mule accounts ultimately connect.
Where Does Crypto Fit Into Money Mule Chains?
Cryptocurrency can form part of a mule chain, but it is not present in every mule scheme. Funds moving through bank or payment accounts may eventually reach a virtual-asset service, where the financial trail takes on a different form. Criminal proceeds can also originate in crypto before interacting with the traditional financial system.
The important point for investigators is not simply whether crypto appears. It is how that activity fits into the wider movement of funds.
A legitimate transfer to a crypto platform is not automatically suspicious. Risk becomes more meaningful when it appears alongside rapid pass-through behaviour, unexplained counterparties, repeated connections to suspicious accounts or other unusual activity.
For banks and payment firms, crypto should therefore be treated as one possible part of the fund-flow story, not as a standalone money mule indicator.
Key Money Mule Red Flags and How Criminals Recruit Money Mules
Money mule activity rarely reveals itself through one perfect red flag. Patterns become more useful when transaction behaviour, account history and relationships are assessed together.
Money mule red flag | Why it may matter |
|---|---|
Rapid onward movement of funds | Money enters and leaves the account with little apparent economic purpose |
Multiple unrelated senders | The account suddenly begins receiving funds from unfamiliar parties |
Common beneficiaries | Several accounts repeatedly transfer money to the same recipient |
Sudden change in account activity | A previously low-activity account begins processing frequent payments |
Unusual transaction velocity | Incoming and outgoing payments increase sharply over a short period |
Shared devices or identifiers | Apparently unrelated accounts may have meaningful connections |
Repeated cash-out activity | Card spending, withdrawals or transfers follow incoming fraud proceeds |
Crypto exposure combined with other signals | Virtual-asset transfers form part of a wider unexplained pattern |
Urgent requests to use someone else's account | Pressure to receive or move funds through a third-party account can indicate mule behaviour rather than ordinary account sharing |
None of these proves that an account is a mule. A business may legitimately receive payments from many customers. A person may send money to a crypto exchange for investment. Multiple customers may even share an address or device for legitimate reasons. Young people are often targeted because the approach can be framed as easy money or informal help rather than obvious fraud.
The strength of money mule detection comes from identifying when several signals begin pointing in the same direction.
Why Money Mule Chains Are Hard to Detect
The biggest problem is fragmentation. Financial institutions employ sophisticated tools to spot suspicious activity across fragmented fund flows, but one institution may see the victim’s payment, another may hold the first mule account, and a third may hold the beneficiary receiving funds from several mules. No institution necessarily sees the entire chain.
Criminals can also break larger amounts into smaller transfers, reuse established mule accounts across different frauds and combine legitimate-looking activity with criminal transactions.
It is found that evidence of suspected mule accounts being used multiple times and across different fraud types, suggesting that some are part of established criminal infrastructure rather than one-off misuse, while KYC protocols used to verify customer identities during account openings may not by themselves reveal later mule use. That is why following the movement and relationships behind the money can be more valuable than simply increasing the number of transaction rules.
How Financial Institutions Can Detect Mule Chains Earlier
Follow the movement of funds
Start with sequence rather than a single payment. How quickly were incoming funds moved? Where did they go? Did the same beneficiaries appear again? Did several unrelated customers follow similar transaction paths?
Effective transaction monitoring can help analysts examine this activity over time instead of reviewing each transfer without its surrounding context.
Compare activity with normal customer behaviour
A transaction does not have to be unusually large to be unusual for that customer. A salary account that suddenly begins receiving payments from numerous unfamiliar people and immediately transferring them elsewhere deserves different treatment from a business account with an established history of similar activity.
Changes in velocity, counterparties, payment channels and account usage can make the movement of mule funds more visible, including cases where a customer appears to struggle to manage the account themselves or activity is carried out with unusual support from another party.
Connect accounts instead of investigating them separately
Money mule chains are fundamentally a relationship problem. Accounts may share:
beneficiaries
devices
IP addresses
contact details or bank details
counterparties
transaction routes
ZIGRAM’s guide to graph analytics for fraud detection explains how connecting these entities can reveal clusters and convergence points that are difficult to spot through individual alerts.
A shared identifier alone does not establish criminal control. In some cases, organised crime groups reuse shared identifiers and linked account infrastructure across multiple mule accounts. But several meaningful relationships combined with suspicious fund movement can materially strengthen an investigation.
Look for consolidation and cash-out points
Detection should not stop with the first mule. Where several mule accounts feed the same beneficiary, merchant, wallet or withdrawal pattern, investigators may be getting closer to the point where proceeds are being consolidated or extracted. Early intervention can therefore disrupt more than one suspicious account.
Connecting the Fraud and AML View
Money mule chains rarely fit neatly into either a fraud or an AML box. The original event may be a scam or account takeover. The receiving account may show behavioural anomalies. Subsequent transfers may trigger transaction-monitoring alerts. Network analysis may then connect several apparently unrelated accounts.
Those are different signals describing the same movement of criminal proceeds. A connected approach allows fraud and AML teams to examine them together.
ZIGRAM’s Complete FRAML System brings fraud monitoring, transaction monitoring, entity intelligence and screening into a connected financial-crime environment. For mule investigations, that means giving teams more context around the account, the movement of funds and the relationships surrounding it.
The objective is not to automatically label a customer as a money mule. It is to identify the accounts and connections that warrant closer investigation, so institutions can act on connected fraud and AML signals earlier and report suspicious cases before the proceeds disappear further down the chain.
Frequently Asked Questions
What is a money mule chain?
A money mule chain is a sequence or network of accounts used to receive and move criminal proceeds. Funds may pass through several mule accounts before being consolidated, withdrawn, spent or transferred into another form of value. Acting as a money mule is a criminal act, and someone caught acting in that role can face serious consequences even if they did not fully understand the scheme.
How do money mule accounts move fraud proceeds?
Mule accounts can receive funds from fraud victims or compromised accounts and then transfer them to other accounts, beneficiaries or payment channels. Recruiters may claim they cannot use their own bank account and ask someone to receive or move money for another person. Funds may be split, recombined or passed through several accounts before cash-out.
What are common money mule red flags?
Common red flags include rapid movement of incoming funds, multiple unrelated senders, repeated common beneficiaries, sudden changes in account behaviour, high transaction velocity and links to other suspicious accounts.
How can banks detect money mule chains?
Banks can combine transaction monitoring, behavioural analysis and network or graph analysis to examine how accounts, beneficiaries, devices and transactions connect. This helps identify suspicious fund flows that may not be obvious from one account alone. They may also use other services to identify connected mule behaviour across accounts and counterparties.
Does cryptocurrency play a role in money mule networks?
It can. Crypto may be used as one route for moving or cashing out proceeds, but it is not part of every money mule chain. Crypto activity should be assessed alongside customer behaviour, transaction patterns and relationships.
Following the Money Beyond the First Mule
The first mule account may reveal where fraud proceeds entered the network. Criminals often recruit money mules to receive stolen money and pass it onward through the chain. It rarely explains where they ultimately went.That is why understanding money mule chains matters.
Funds can move through several accounts, split, consolidate and eventually cash out through channels that look ordinary when viewed separately. Financial institutions have a better chance of disrupting that movement when they connect transaction behaviour with account relationships and investigate the path of the funds rather than only the first alert.
The goal is simple: see more of the chain before the money reaches the end of it, while reminding anyone approached with these offers to talk to someone they trust and contact anonymously through Crimestoppers if needed.
