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Australian Scam Phone Number Data

Quick Overview

Summary

Analysis of over 8,000 scam phone number reports in Australia reveals a shift toward psychosocially engineered scams. Phone scams primarily occur mid-morning, targeting individuals at times of high cognitive load. Scammers impersonate major banks and telecom providers, with reporting data indicating a wider spread than official government figures. Voice over IP carriers are frequently exploited, complicating attribution of scam calls.

Key Points

  • Scam activity peaks at 11:38 am, Tuesday–Thursday.
  • Phone calls remain the main method, followed by SMS and messaging apps.
  • Scammers most often impersonate Commonwealth Bank and Telstra.
  • Symbio Networks and Telstra are leading carriers in scam reports.
  • VoIP services facilitate large-scale scam operations and rapid number changes.
  • Official government data may underestimate actual scam prevalence.
  • Unknown carriers indicate widespread use of spoofed numbers.

FAQ

What time are Australians most at risk from phone scams?
Scams most often occur at 11:38 am between Tuesday and Thursday.
Which institutions are most commonly impersonated in phone scams?
Commonwealth Bank is the most impersonated bank; Telstra is the most impersonated telecom provider.
Which telecommunications carriers appear most often in scam reports?
Symbio Networks and Telstra are most frequently identified.

Australian Scam Phone Data: Australian Scam Phone Data analysis of 8,000+ proprietary reports reveals that phone scams in Australia have shifted from random calls to psychosocially engineered attacks.

  • Peak Risk Time: Scams peak at 11:38 am between Tuesday and Thursday, targeting Australians when cognitive load is highest and attention is divided.
  • Primary Tactics: Phone calls remain the top contact method, utilising psychological pressure (fear, guilt, and false authority) rather than technical exploits.
  • Top Impersonations: Commonwealth Bank (CBA) is the most impersonated financial institution; Telstra is the most impersonated telecom provider.
  • Infrastructure Insights: Symbio Networks (778 reports) and Telstra (508 reports) are the leading carriers identified in reported scam activity.
  • The Reporting Gap: Evidence suggests scam prevalence is significantly higher than government figures (currently $2 billion annually) due to widespread underreporting to official agencies like ScamWatch.

Global Reach: While concentrated in Australia (2,235 reports), activity frequently originates from or targets the US and the Philippines and other South East Asia countries. What 8,000+ Cybertrace Reports Reveal.

A screenshot of the Cybertrace scam phone number lookup risk score graph.

Introduction

In April 2026, Cybertrace analysed 8,000+ scam phone number reports submitted by users of our Scam Phone Number Lookup (SPNL) tool. These reports offer a unique, independent perspective on scam activity and provide a private-sector alternative to government data regarding telecommunications-based scams. This is not aggregated third-party data, it’s direct community reporting from Australians who have experienced phone based scam contact.

What we found highlights a clear shift and strongly demonstrates that scams are no longer random, they are timed, structured, and psychosocially engineered.

About This Data

This analysis is based on proprietary Cybertrace intelligence, drawn from over 8,000 scam submissions received from 2024 to the present. The data was submitted via the Cybertrace SPNL page, which is also used to search and identify the risk associated with a phone number.

The SPNL aims to protect users from scams by identifying the scam risk associated with a phone number. Each report captures the time, date and method of contact, the scam technique used, and the victim’s descriptions of the interaction.

Cybertrace investigators analysed each record to identify patterns in timing, communication methods, scam typologies, and behavioural tactics. This provides a unique perspective on scam activity, revealing how scams are executed in practice.

When Scammers Target Australians

Further analysis identified that the average scam contact time is 11:38 am. This aligns with the average peak cognitive load during business hours, when attention is divided, and mental fatigue begins. Scammers exploit this to increase success rates. 

The “Cognitive Blindspot”: Why Government Data Misses the Mark Cybertrace’s intelligence identifies 11:38 AM (Tuesday–Thursday) as the “Peak Risk Window,” a stark departure from Australian government figures that typically cite the afternoon as the primary threat period. This discrepancy reveals a critical reporting gap: while government data relies on traditional, often delayed reporting mechanisms, Cybertrace captures real-time telemetry from a more digitally active demographic. This highlights an urgent need for federal authorities to integrate private-sector intelligence to gain a comprehensive, real-time picture of the threats facing Australians.

Scammers Are Clocking In While the Government Is Still Catching Up While official government statistics suggest scammers strike in the afternoon, Cybertrace data proves that criminals are actually targeting the “Peak Cognitive Load” period at 11:38 AM. By striking mid-morning during the mid-week rush, scammers exploit divided attention and high-stress work environments. The fact that this data contradicts official records suggests that victims are turning to private investigators rather than government agencies. Without consulting private industry leaders like Cybertrace, the government is operating with a half-finished map of the scam landscape.

Mid-Week Activity

Scam reports peak Tuesday through Thursday, targeting periods where people are engaged but less cautious.

An image of a female who has just found out that she has been scammed and realising that she could have reduced the risk by using the Scam Phone Number Lookup tool.

Contact Methods

From analysis of the scam phone number data, phone calls remain the primary entry contact method, followed by SMS and messaging apps, primarily WhatsApp. Calls provide scammers with the opportunity to build trust, apply pressure and manipulate victims.

Despite the huge increase in public awareness of scam calls, it remains one of the most effective methods for luring people into scams. Scammers often begin with direct phone contact and transition to various online platforms. From here, the fraudulent activity is undertaken through a range of often manipulated financial platforms.

Top Carriers by Reported Phones

Based on data captured through the Scam Phone Number Lookup (SPNL) tool, we have identified the primary telecommunications providers associated with reported scam activity. While scammers frequently spoof numbers, these statistics represent the carriers identified during the lookup process.

The following table highlights the top ten carriers by the number of unique reported phones:

RankCarrierNumber of Reported Phones
1.Symbio Networks778
2.Telstra Corporation508
3.Unknown Carrier (Likely spoofed numbers)311
4.SingTel Optus256
5.Pivotel Satellite Pty Limited241
6.NetSIP183
7.Smart Communications174
8.Vodafone Hutchison Australia Pty Limited164
9.Vodafone76
10.Primus Telecommunications70

Key Observations

  • Market Leaders: Major Australian providers like Telstra and Optus remain high on the list, often being the primary targets for impersonation due to their massive customer bases.
  • VoIP and Specialised Providers: The high volume of reports linked to providers like Symbio Networks and NetSIP underscores the prevalence of Voice over IP (VoIP) services in modern scam operations, which allow for easier automation and number cycling.
  • Attribution Challenges: The “unknown” category remains the third-largest group, illustrating the ongoing technical hurdles in definitively identifying the source of scam communications. However, from our analysis, it is likely that the unknown category relates to spoofed phone numbers where the phone number is not currently attributed to a carrier.

Scam Types

Our data shows that financial scams are the most common, followed by telecom impersonation, government impersonation, and finally social impersonation scams.

The most common impersonation of a telecom service provider is Telstra (Australia), followed by Optus, where the most used carrier for scamming is Symbio Networks followed by Telstra.

Banks Targeted

Like telecom companies, Australian banks are regularly impersonated. Our data shows the top five impersonated banks are;

1.Commonwealth Bank (CBA)
2.Australia New Zealand Bank (ANZ)
3.National Australia Bank (NAB)
4.Westpac
5.Bendigo Bank

Psychological Tactics

Scammers use a wide range of psychological tactics to manipulate victims. The tactics are becoming increasingly sophisticated, with call centers using scripts and training manuals to assist callers in manipulating their targets.

Some of the most commonly used tactics are:

  • Build Trust: Scammers work to build trust by being friendly and helpful in the short term, or over weeks, months, and even years to slowly develop a relationship.
  • Showing Expertise: Showing authority through the use of complex or technical-sounding language to appear legitimate and knowledgeable.
  • Time Pressure and Fear of Missing Out: By pushing people to make a choice quickly, scammers prevent victims from having the time to think clearly or consult others.
  • Threats: Scammers may threaten legal action, the suspension of services (like a bank account or phone line), or police involvement to coerce compliance.
  • Fear: By creating a sense of alarm – such as claiming a “compromised account” or an “arrest warrant” – scammers trigger a fight-or-flight response that bypasses logical thinking.
  • Guilt: Scammers often use guilt, particularly in social or “help” scams, to make the victim feel responsible for a negative outcome if they do not provide financial assistance.

Scammers will use whatever tactic they believe will be most effective at the time. Phone-based scam contact gives them a unique opportunity to engage directly with their victims, allowing them to gauge responses and adapt their approach on the fly. This is one of the reasons scam phone calls remain so common despite widespread awareness of this approach.

Comparison to National Data

Australian government data shows over $2 billion lost annually to scams. Cybertrace findings align but also reveal underreporting and behavioural insights not captured in national datasets. Cybertrace is aware that many of its clients do not report their cases to state or federal reporting bodies in Australia. In this regard, the Cybertrace data is unique and may represent an underreported demographic when it comes to government data sets

Cybertrace and the Australian Consumer & Competition Commission Scamwatch are partners.

Final Insight

Although Cybertrace’s scam phone number data represents only a fraction of real scam activity, it captures critical insights that may otherwise go unreported. Our data reveals that the true scale of phone-based scams is significantly higher than indicated by government figures, often because many individuals do not report cases to state or federal bodies.

This discrepancy is driven by several key factors:

  • Reporting Preferences: Many victims prefer searching for private organisations, using terms like “Report Scam Phone Number” on Google, due to a mistrust in government systems or the belief that private organisations provide a more direct impact.
  • Carrier Infrastructure: Our data identifies the specific networks being utilised. Symbio Networks (778 reported phones) and Telstra Corporation (508 reported phones) are currently the top carriers associated with reported scam numbers.
  • Geographic Targeting: Scam activity captured in our tool is heavily concentrated in Australia (2,235 reports), with notable activity also appearing in the United States (420 reports) and the Philippines (206 reports).
  • Line Type Trends: While mobile lines (2,245 reports) and landlines (1,153 reports) are the primary tools, the use of non-fixed VoIP remains a significant method for scammers to maintain anonymity.

Whatever the case, these findings reveal behavioral patterns not captured in national datasets. They strongly demonstrate that scams are no longer random; they are timed, structured, and psychosocially engineered to target Australians when their attention is most divided.

Media

For a media release relating to this data and assessment please visit this link.

How Cybertrace Can Help

Cybertrace specialises in cyber investigations, scam analysis, and identifying offenders. We provide evidence suitable for legal and law enforcement use.

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