Identify Mule Accounts & Transaction Laundering Risks Before They Impact Your Ecosystem
Identification of banking accounts and suspicious fund flows operating across betting, gambling, and illegal platforms through Indian payment instruments. Our solution identifies such accounts/transactions and serves as a heads-up to initiate action against the same.
How Money Moves Through Mule Accounts
Step 1
User Lands on Illegal Platform
Betting,
gaming or pornographic sites & apps
Step 2
Illegal Transaction via Indian Instruments
UPI, Debit/Credit Cards, Net Banking transfers
Step 3
Funds Routed to Frontline Businesses
Money enters accounts of individuals & companies
Step 4
Transferred to International Accounts
Funds exit India, untraceable without intervention
Six Steps to Proactive Transaction Laundering Detection
By identifying UPI IDs, card details, and bank transfer details from suspected betting and gambling websites, our Mule Account Detection solution enables banks to trace and block mule accounts before funds move.
Identification & Aggregation
Aggregation of suspected merchant websites, hidden sites & shadow URLs categorized as betting, gaming, pharma, or adult content.
Registration
The solution registers as a merchant user on each website to gain access to UPI IDs, Debit/Credit Cards, and Net banking transfer details.
Web Crawling
Automated bots with configurable crawl frequency continuously detect & identify payment identifiers from UPI IDs, card numbers, and Net banking.
Reporting
Identified UPI IDs, Debit/Credit Cards, Net banking & bank transfer details are shared with the respective banks for investigation.
Investigation
Banks identify account holders linked to these details and trace the full chain of funds transfer across the network.
Action
Accounts confirmed as involved in transaction laundering are blocked stopping the money flow at the source.
Key Capabilities
Deep Web & Shadow Site Coverage
Aggregates and monitors hidden websites, mirror domains, and shadow platforms that evade conventional detection giving complete coverage across the ecosystem.
Real-Time Crawling at Scale
Configurable bot frequency means the solution continuously crawls thousands of websites in parallel, surfacing new UPI IDs, card numbers, and bank transfer identifiers as they appear.
Bank-Ready Intelligence Reports
Every detected identifier is packaged into structured, bank-ready reports. Compliance teams receive clean, actionable data no manual wrangling, no ambiguity, no delay.
How Banks Can Proactively Stop Transaction Laundering
Once the Mule Account Detection solution delivers intelligence, banks have a clear, structured action path from detection to blacklisting in five steps.
Receive Payment Identifiers
UPI IDs, Debit/Credit Card numbers, Net banking and bank transfer details are shared with the bank by the Mule Account Detection solution.
Link to Bank Accounts
The bank maps these details to the respective account holders in its own systems.
Verify Transaction History
The full transaction history of the flagged accounts is audited to confirm suspicious fund movement patterns.
Identify Overseas Transfers
Suspected accounts transferring funds to international destinations are flagged for priority action.
Blacklist & Monitor
Defaulter accounts are blacklisted. Transaction laundering is proactively monitored and stopped at the account level
Frequently Asked Questions
A mule account is a bank account used to receive and transfer illegally obtained money, creating distance between the criminals and the funds. These accounts are often operated by ordinary people who are either deceived or paid to participate, making them difficult to detect through identity checks alone.
mFilterIt reports detecting 18,000 to 20,000 mule cases every single day for banking clients, and flagged over 524,000 mule instances in a single month (March 2026) across India's digital payment ecosystem.
It's a model where fake payment gateways provide, manage, and rotate mule accounts on behalf of restricted or blacklisted businesses (like gambling or forex sites) specifically to avoid detection by banks monitoring transaction volume spikes.
Signals include sudden surges in payment frequency, inconsistent transaction amounts versus an account's typical behaviour profile, and payment flows tied to blocked categories like betting, gambling, or unregulated forex and crypto platforms routed through legitimate-looking accounts.
It combines OSINT (open-source intelligence) with payment information, monitoring roughly 25,000 websites every hour to uncover money-laundering chains and mule conduits, then correlates that with fraud patterns to flag the accounts moving the money.
mFilterIt reports identified mule conduits and laundering networks to relevant regulated entities and law enforcement agencies, working alongside national banks and regulatory bodies rather than only issuing an internal flag.
Protect Your Financial Institution from Mule Networks
Our Mule Account Detection solution gives your compliance and fraud teams the intelligence to act before funds leave the country. RBI's framework demands it; we make it achievable.