Community Risk Assessment
Evidence Status
Community Reporting Summary
12 independent community reports have been recorded for this number.
The predominant classification is scam, accounting for 58% of reports, with additional suspicious, uncertain interactions also recorded.
Number Metadata
Observed Interaction Types
- Scam
- 7 community reports
- Suspicious
- 4 community reports
- Uncertain
- 1 community report
Safety Context
Community reports describe patterns reporting users considered potentially harmful. Avoid sharing personal information or verification codes unless you independently confirm the caller's identity.
About This Record
This page forms part of the Reverseau public safety intelligence database, which aggregates community-reported telecommunications safety information across Australia.
Records update automatically as new reports are submitted. Records may exist prior to receiving community reports in order to support proactive telecommunications safety monitoring and future reporting.
Reverseau maintains this database as a continuously updated public safety dataset designed to support telecommunications risk awareness across Australia. Reverseau does not determine liability, intent, or identity. Records reflect aggregated community-submitted signals only.
Contribute a Community Safety Report
Additional reports help improve classification confidence and public safety awareness.
SUBMIT A SAFETY REPORTReports contribute anonymised observational data used for pattern analysis.
Community Safety Reports
Classifications reflect anonymised community-submitted reports and represent observed interaction patterns only. They do not identify callers or constitute verified findings.
Pattern status reflects statistical distribution of community reports and does not indicate verified activity.
These reports contribute to the Community Risk Level and Confidence assessment shown above.
The following reports are user-submitted and not independently verified. Consider them alongside the aggregated signals above.
This number is clearly a scam! If you see it, run the other way!
I called and they asked for my full name, email, and how many bank account I have with NAB. I did not suspect anything that time and gave them these details:-(
Received a text with the code 578190 to add M Khan as a new payee. If not recognized supposed to call (03) 4410 1008. Called and soon realized it was a scam.
My partner, a second card holder for my NAB account, received a text with the code 578190 to add M Khan as a new payee. As the account holder, I did not receive a similar request. Thanks to this site for confirming my suspicions.
Received this same text message as above reviewers. Thank you to this review page, I got the answers I needed by Google searching the number before acting on their requests.
I I also just received a request from mobile number +61418927502.
NAB: 909930 is your code to add M Khan as a new payee.
If this was not you, please call us at 03 4410 1008.
Received a request from mobile number +61418927502.
NAB: 909930 is your code to add M Khan as a new payee.
If this was not you, please call us at 03 4410 1008.
Text message for nab claiming to pay a new contact 22/9/25.
This mob is sus! I reckon they’re up to no good, could be a scam.
Received a text message regarding adding a payee and to call this number if it wasn't me. Immediately checked my account and there was nothing suspicious on it. This is a scam and this phone number is not associated with NAB.
SCAM - Got a text saying here is your code to add (a random name) as a payee to your NAB account. But if I didn’t do this, to call this number.
Watch out for this dodgy num! They text pretending to be NAB using a fake sender ID, pulling sneaky tricks to steal your info. The message claimed someone's trying to add a payee. If you weren't the one, it’s best to call NAB directly!
Community reports are retained as historical safety signals within the Reverseau telecommunications safety dataset and may reflect different experiences over time.
Contribute a Community Safety Report
Additional reports help improve classification confidence and public safety awareness.
SUBMIT A SAFETY REPORTReports contribute anonymised observational data used for pattern analysis.