Have you ever taken an order and felt something just wasn’t quite right? Order fraud is becoming increasingly common, and in a bid to help you spot fraud, we’ve highlighted common fraud names used. Recognising these patterns early can help protect your business from costly mistakes.
Maybe the caller hesitated when giving their details…
Maybe the name sounded unusual… Or was one of our Common Fraud Names…
Or something just didn’t add up.
If so, you’re not alone.
Why Fraudulent Names Matter in Order Taking
Fraudsters often reuse the same names across multiple businesses because:
- They need quick, memorable aliases
- They rely on humour or wordplay
- Many employees don’t question unusual names
Spotting suspicious names can act as an early warning signal before further checks are triggered.
Common Fraud Names to Watch Out For
Here are just a few examples that have been repeatedly used in fraudulent orders:
- Tom Bowler
- Sue Flay
- Jack Russell
- Hannah Biss
- Tia Maria
These names may seem harmless at first glance, but they are frequently used as fake identities in scam transactions.
The examples above are just the tip of the iceberg.
We’ve compiled a full list of 30 commonly used fraudster names, based on real-world cases, to help your team stay alert.
Enter your details below to download the complete list and strengthen your fraud prevention process.
"*" indicates required fields
Other Warning Signs to Look For
A suspicious name alone doesn’t confirm fraud, but when combined with other behaviours, it’s a strong indicator.
Watch for:
- Hesitation when giving personal details
- Inconsistent or incomplete information
- Urgency to rush the order
- Requests for unusual delivery arrangements
- Payment irregularities
How to Protect Your Business
To reduce your risk of fraud:
- Always verify customer details before processing orders
- Train staff to recognise red flags
- Implement a clear order-checking process
- Encourage employees to trust their instincts
Fraud prevention doesn’t always require complex systems. Sometimes, it starts with simply paying attention.
By recognising patterns like suspicious names and unusual behaviour, your team can stop fraudulent orders before they become a problem.
For more information about Strelitzia Pay, click here