Community Risk Assessment
Evidence Status
Community Reporting Summary
13 independent community reports have been recorded for this number.
The predominant classification is scam, accounting for 54% of reports, with additional suspicious, spam, uncertain interactions also recorded.
Number Metadata
Observed Interaction Types
- Scam
- 7 community reports
- Suspicious
- 4 community reports
- Spam
- 1 community report
- 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.
The caller had a very strong accent, making it difficult for me to understand the name of the insurance company they represented. They mentioned it was about an accident I supposedly had in the past two years. I strongly suspect this is a scam.
This number has been calling me repeatedly. My mobile phone has identified it as a scam, so it automatically rejects incoming calls from this number. I find it frustrating that these scammers continue to call despite being blocked.
A woman claiming to be from CTP Insurance called me about a supposed accident I had. I immediately recognized this as a scam since I haven’t been in an accident in over 30 years! I hung up and tried to call back, but the line was silent. After checking on Reverse AU, I confirmed that this number is indeed linked to scams.
This number called but did not leave a voicemail. I tried to return the call, but it wouldn’t connect.
This call was from someone selling insurance, claiming I had an accident in the past few years. Even after I told them I have never had a driver’s license, they insisted on the previous accident. It is frustrating to deal with these persistent scammers.
Scam - told me they got my number from an accident that I never had.
When I attempted to return the call, I could not connect with the number.
I didn’t answer the call because I suspected it was another scam. After a few seconds of silence, I heard a recorded voice say "Goodbye."
The call was automated; it greeted me with a "hello" and then abruptly hung up without any further communication.
This number is persistent, as they continued to call me even after I labeled them as scammers during a previous conversation.
My phone automatically labeled this number as a potential fraud so blocked it.
I tried to return the call but was unable to connect. It appears to be a scam number.
The caller remained silent for 15 seconds after I answered, so I hung up the phone.
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.