Community Risk Assessment
Evidence Status
Community Reporting Summary
11 independent community reports have been recorded for this number.
Reported classifications are distributed across multiple classification types, including classifications such as spam, suspicious, and scam, indicating no dominant behavioural pattern at this time.
Number Metadata
Observed Interaction Types
- Spam
- 5 community reports
- Suspicious
- 3 community reports
- Scam
- 3 community reports
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.
"Hannah Davies" from urCommunity is back on the line again. This is like the third or fourth time in a year asking for donations. Feels a bit fishy since I think her voice might be AI-generated, and at this point, I’m not buying it—just leave us alone, yeah?
03 4251 7923 - another one - blocked.
I missed a call from this number, and they didn't leave any voice message. I also did not attempt to call them back.
691555: I was on the phone with a caller who was very insistent about donations, despite the poor quality of the line that caused noticeable delays between statements. They really pushed the idea that my contribution could change the world, but disregarded anything I had to say in response. I wish these types of calls would cease. My advice to those struggling financially is simple: 1. Seek employment, as there are many available jobs out there. 2. Consider delaying marriage. 3. Think carefully before having children.
This number called my landline, and when I answered, they immediately hung up. It’s really annoying to receive these calls when I'm busy working.
This number calls frequently but never leaves a voicemail. If their intentions were legitimate, they would leave a message. I suspect it's a scam!
The caller claimed to represent a fundraising center dedicated to assisting individuals living below the poverty line in Australia. However, I am uncertain about the legitimacy of this organization.
This number has called me today and yesterday but did not leave any voicemails.
I suspect this call was either a scam or spam because they didn’t leave a voicemail, and I’ve been inundated with scam calls lately.
I received a missed call from this number, but they did not leave any voicemail. I chose not to return the call as it didn't seem important.
This call came from an unknown number and was flagged as spam on my phone. The caller did not leave a voicemail message.
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.