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Leading the fight against scammers, supporting organisations globally in detecting and disrupting scams, including those preparing for regulatory frameworks such as Australia's Scams Prevention Framework
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Insights & Intelligence

We provide research and analysis on scam prevention, digital impersonation, and emerging regulatory frameworks such as Australia's Scam Prevention Framework (SPF).

Featured

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Insights | Australia SPF Series  ·  Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Abstract illustration representing the Scams Prevention Framework and cross-sector scam prevention ecosystem

What Is Australia's Scams Prevention Framework (SPF)

Insights | Australia SPF Series  ·  Published March 10, 2026

The Scams Prevention Framework (SPF) introduces a coordinated regulatory approach to reduce scam harm across Australia's digital and financial ecosystem.

Diagram showing how scam losses can fall on banks even when scammers impersonate other brands

What the Scams Prevention Framework Means for Banks and Financial Institutions

Insights | Australia SPF Series  ·  Published March 12, 2026

How SPF is changing the expectations placed on financial institutions

Diagram showing the Actionable Scam Intelligence model including campaign, infrastructure and monetisation signals

Why the Scams Prevention Framework Requires a New Category: Actionable Scam Intelligence

Insights | Australia SPF Series  ·  Published March 15, 2026

Moving beyond fraud detection toward intelligence-driven scam prevention

Diagram showing capability layers required for organisations preparing for the Scams Prevention Framework

Preparing for the Scams Prevention Framework: A Capability Checklist for Banks

Insights | Australia SPF Series  ·  Published March 18, 2026

Understanding operational readiness for the new scam prevention landscape

Scams Prevention Framework implementation diagram showing fragmented scam visibility, messaging and social channel risks, internal data silos, and payment-stage detection limits.

The Operational Challenges of Implementing the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 1, 2026

Why SPF implementation is difficult in practice, from fragmented scam signals to cross-sector coordination and infrastructure disruption.

SPF enforcement infographic showing how scam prevention regulation is enforced through operational traceability, governance, evidence of execution, and cross-sector participation.

How Regulators May Enforce the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 3, 2026

A practical view of how SPF enforcement may work, including evidence expectations, governance, traceability, and cross-sector accountability.

Scam intelligence infographic showing the shift from reactive fraud analytics to upstream scam intelligence, including campaign tracking, monetization mapping, and mule account visibility.

Why the Scams Prevention Framework Requires Better Scam Intelligence

Insights | Australia SPF Series  ·  Published April 5, 2026

SPF raises the standard from seeing suspicious payments to understanding the scam operation that created them.

Abstract illustration representing the evolution of scam regulation beyond SPF, showing shared accountability, infrastructure disruption, evidence quality, and intelligence-to-action maturity.

The Future of Scam Regulation After the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 8, 2026

SPF is the beginning of operational scam regulation. What comes next and what organisations should build now.

A comparative visual analysis showing the differences in scam response mechanisms and handling capabilities as organizations scale up their fraud operations and implement standardized evidence

Why Scam Response Needs Standardised Evidence, Not Just Analyst Notes

Insights | Australia SPF Series  ·  Published May 12, 2026

Repeatable scam response depends on standardised evidence, consistent reasoning, and traceable handoffs rather than fragmented analyst notes alone.

A detailed architectural view of the SPF Scam Prevention Operating Model, emphasizing how structured evidence supports reimbursement analysis, liability review, and governance reporting

What Banks Need Beyond Fraud Detection: An SPF Operating Model

Insights | Australia SPF Series  ·  Published May 8, 2026

How banks can move beyond traditional fraud controls toward an SPF-era operating model built around intake, verification, evidence, intelligence, disruption, and governance.

An infographic detailing the operational frameworks required for scaling enterprise scam prevention, moving from informal analyst notes to system-designed workflows that support consistent analysis

Campaign Intelligence vs Case Intelligence in Scam Prevention

Insights | Australia SPF Series  ·  Published April 24, 2026

Why scale, pattern recognition, and cross-channel correlation matter for disruption — and why case-by-case handling has a ceiling.

A comprehensive flowchart illustrating how enterprise security teams transform raw scam intelligence into actionable response operations, ensuring structured handoffs and effective threat disruption

What Makes Scam Intelligence Actionable

Insights | Australia SPF Series  ·  Published April 20, 2026

The operational difference between raw scam signals and actionable scam intelligence — campaign context, infrastructure linkage, prioritisation, and disruption value.

A process diagram of the enterprise-grade Scam Signal pipeline, demonstrating data collection, verification outputs, and how intelligence teams use structured evidence without the need for rework

How Public Scam Verification Creates Enterprise-Grade Scam Signals

Insights | Australia SPF Series  ·  Published April 16, 2026

How public scam verification moves beyond consumer education and becomes an early signal layer for enterprise prioritisation, correlation, and disruption.

A strategic roadmap defining the path to an effective scam response, highlighting the critical role of capturing core artefacts, reasoning, and timelines to ensure decisions are easy to reconstruct

From Verification to Evidence: What Makes a Scam Case Actionable

Insights | Australia SPF Series  ·  Published April 13, 2026

The gap between explainable verification and operational action — what evidence, reasoning, and context make a scam case fit for escalation and disruption.

A step-by-step workflow diagram outlining the standard phishing takedown process, from initial threat detection and evidence gathering to the final disruption and removal of malicious domains

How Phishing Takedown Actually Works

Insights | Australia SPF Series  ·  Published April 10, 2026

The real workflow behind phishing takedown — from intake and verification to structured evidence, provider action, monitoring, and multi-channel follow-up.

An analytical chart highlighting the core challenges in removing complex multi-channel scam infrastructure and social impersonation networks that demand coordinated action

Why Scam Infrastructure Is Hard to Remove

Insights | Australia SPF Series  ·  Published March 25, 2026

The operational barriers behind scam takedown — evidence thresholds, platform friction, jurisdictional complexity, campaign rotation, and multi-channel reappearance.

A structural breakdown of the architecture behind modern digital scams, revealing the underlying technical operations, network setups, and connected models used by threat actors

Understanding Scam Infrastructure

Insights | Australia SPF Series  ·  Published March 22, 2026

Scam infrastructure in practical terms — why websites, fake apps, social profiles, messaging channels, and payment touchpoints must be seen as one operating environment.

A trend analysis graphic tracking the evolution of social media impersonation tactics and showing how external scam assets become manageable through a strong and consistent evidence chain

Social Media Impersonation Is Now a Scam Infrastructure Problem

Insights | Australia SPF Series  ·  Published March 20, 2026

Why fake social profiles now function as scam infrastructure, how they reinforce scam campaigns, and why multi-channel disruption matters under SPF-era expectations.

Illustration of explainable scam verification and evidence-based decision making

Why Explainable Scam Verification Matters

Insights | Australia SPF Series  ·  Published March 27, 2026

Explainable reasoning turns weak scam signals into actionable cases for escalation, reporting, and fast takedown.

Illustration of scam reporting flowing into verification and disruption stages

Why Scam Reporting Alone Fails

Insights | Australia SPF Series  ·  Published March 26, 2026

Reporting creates visibility, but only verification and disruption reduce attacker capability and scam exposure.

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Insights | Australia SPF Series  ·  Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Abstract illustration representing the Scams Prevention Framework and cross-sector scam prevention ecosystem

What Is Australia's Scams Prevention Framework (SPF)

Insights | Australia SPF Series  ·  Published March 10, 2026

The Scams Prevention Framework (SPF) introduces a coordinated regulatory approach to reduce scam harm across Australia's digital and financial ecosystem.

Diagram showing how scam losses can fall on banks even when scammers impersonate other brands

What the Scams Prevention Framework Means for Banks and Financial Institutions

Insights | Australia SPF Series  ·  Published March 12, 2026

How SPF is changing the expectations placed on financial institutions

Diagram showing the Actionable Scam Intelligence model including campaign, infrastructure and monetisation signals

Why the Scams Prevention Framework Requires a New Category: Actionable Scam Intelligence

Insights | Australia SPF Series  ·  Published March 15, 2026

Moving beyond fraud detection toward intelligence-driven scam prevention

Diagram showing capability layers required for organisations preparing for the Scams Prevention Framework

Preparing for the Scams Prevention Framework: A Capability Checklist for Banks

Insights | Australia SPF Series  ·  Published March 18, 2026

Understanding operational readiness for the new scam prevention landscape

Scams Prevention Framework implementation diagram showing fragmented scam visibility, messaging and social channel risks, internal data silos, and payment-stage detection limits.

The Operational Challenges of Implementing the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 1, 2026

Why SPF implementation is difficult in practice, from fragmented scam signals to cross-sector coordination and infrastructure disruption.

SPF enforcement infographic showing how scam prevention regulation is enforced through operational traceability, governance, evidence of execution, and cross-sector participation.

How Regulators May Enforce the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 3, 2026

A practical view of how SPF enforcement may work, including evidence expectations, governance, traceability, and cross-sector accountability.

Scam intelligence infographic showing the shift from reactive fraud analytics to upstream scam intelligence, including campaign tracking, monetization mapping, and mule account visibility.

Why the Scams Prevention Framework Requires Better Scam Intelligence

Insights | Australia SPF Series  ·  Published April 5, 2026

SPF raises the standard from seeing suspicious payments to understanding the scam operation that created them.

Abstract illustration representing the evolution of scam regulation beyond SPF, showing shared accountability, infrastructure disruption, evidence quality, and intelligence-to-action maturity.

The Future of Scam Regulation After the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 8, 2026

SPF is the beginning of operational scam regulation. What comes next and what organisations should build now.

A comparative visual analysis showing the differences in scam response mechanisms and handling capabilities as organizations scale up their fraud operations and implement standardized evidence

Why Scam Response Needs Standardised Evidence, Not Just Analyst Notes

Insights | Australia SPF Series  ·  Published May 12, 2026

Repeatable scam response depends on standardised evidence, consistent reasoning, and traceable handoffs rather than fragmented analyst notes alone.

A detailed architectural view of the SPF Scam Prevention Operating Model, emphasizing how structured evidence supports reimbursement analysis, liability review, and governance reporting

What Banks Need Beyond Fraud Detection: An SPF Operating Model

Insights | Australia SPF Series  ·  Published May 8, 2026

How banks can move beyond traditional fraud controls toward an SPF-era operating model built around intake, verification, evidence, intelligence, disruption, and governance.

An infographic detailing the operational frameworks required for scaling enterprise scam prevention, moving from informal analyst notes to system-designed workflows that support consistent analysis

Campaign Intelligence vs Case Intelligence in Scam Prevention

Insights | Australia SPF Series  ·  Published April 24, 2026

Why scale, pattern recognition, and cross-channel correlation matter for disruption — and why case-by-case handling has a ceiling.

A comprehensive flowchart illustrating how enterprise security teams transform raw scam intelligence into actionable response operations, ensuring structured handoffs and effective threat disruption

What Makes Scam Intelligence Actionable

Insights | Australia SPF Series  ·  Published April 20, 2026

The operational difference between raw scam signals and actionable scam intelligence — campaign context, infrastructure linkage, prioritisation, and disruption value.

A process diagram of the enterprise-grade Scam Signal pipeline, demonstrating data collection, verification outputs, and how intelligence teams use structured evidence without the need for rework

How Public Scam Verification Creates Enterprise-Grade Scam Signals

Insights | Australia SPF Series  ·  Published April 16, 2026

How public scam verification moves beyond consumer education and becomes an early signal layer for enterprise prioritisation, correlation, and disruption.

A strategic roadmap defining the path to an effective scam response, highlighting the critical role of capturing core artefacts, reasoning, and timelines to ensure decisions are easy to reconstruct

From Verification to Evidence: What Makes a Scam Case Actionable

Insights | Australia SPF Series  ·  Published April 13, 2026

The gap between explainable verification and operational action — what evidence, reasoning, and context make a scam case fit for escalation and disruption.

A step-by-step workflow diagram outlining the standard phishing takedown process, from initial threat detection and evidence gathering to the final disruption and removal of malicious domains

How Phishing Takedown Actually Works

Insights | Australia SPF Series  ·  Published April 10, 2026

The real workflow behind phishing takedown — from intake and verification to structured evidence, provider action, monitoring, and multi-channel follow-up.

An analytical chart highlighting the core challenges in removing complex multi-channel scam infrastructure and social impersonation networks that demand coordinated action

Why Scam Infrastructure Is Hard to Remove

Insights | Australia SPF Series  ·  Published March 25, 2026

The operational barriers behind scam takedown — evidence thresholds, platform friction, jurisdictional complexity, campaign rotation, and multi-channel reappearance.

A structural breakdown of the architecture behind modern digital scams, revealing the underlying technical operations, network setups, and connected models used by threat actors

Understanding Scam Infrastructure

Insights | Australia SPF Series  ·  Published March 22, 2026

Scam infrastructure in practical terms — why websites, fake apps, social profiles, messaging channels, and payment touchpoints must be seen as one operating environment.

A trend analysis graphic tracking the evolution of social media impersonation tactics and showing how external scam assets become manageable through a strong and consistent evidence chain

Social Media Impersonation Is Now a Scam Infrastructure Problem

Insights | Australia SPF Series  ·  Published March 20, 2026

Why fake social profiles now function as scam infrastructure, how they reinforce scam campaigns, and why multi-channel disruption matters under SPF-era expectations.

Illustration of explainable scam verification and evidence-based decision making

Why Explainable Scam Verification Matters

Insights | Australia SPF Series  ·  Published March 27, 2026

Explainable reasoning turns weak scam signals into actionable cases for escalation, reporting, and fast takedown.

Illustration of scam reporting flowing into verification and disruption stages

Why Scam Reporting Alone Fails

Insights | Australia SPF Series  ·  Published March 26, 2026

Reporting creates visibility, but only verification and disruption reduce attacker capability and scam exposure.

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Insights | Australia SPF Series  ·  Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Australia SPF Related Insights

Abstract illustration representing the Scams Prevention Framework and cross-sector scam prevention ecosystem

What Is Australia's Scams Prevention Framework (SPF)

Published March 10, 2026

The Scams Prevention Framework (SPF) introduces a coordinated regulatory approach to reduce scam harm across Australia's digital and financial ecosystem.

Diagram showing how scam losses can fall on banks even when scammers impersonate other brands

What the Scams Prevention Framework Means for Banks and Financial Institutions

Published March 12, 2026

How SPF is changing the expectations placed on financial institutions

Diagram showing the Actionable Scam Intelligence model including campaign, infrastructure and monetisation signals

Why the Scams Prevention Framework Requires a New Category: Actionable Scam Intelligence

Published March 15, 2026

Moving beyond fraud detection toward intelligence-driven scam prevention

Diagram showing capability layers required for organisations preparing for the Scams Prevention Framework

Preparing for the Scams Prevention Framework: A Capability Checklist for Banks

Published March 18, 2026

Understanding operational readiness for the new scam prevention landscape

Scams Prevention Framework implementation diagram showing fragmented scam visibility, messaging and social channel risks, internal data silos, and payment-stage detection limits.

The Operational Challenges of Implementing the Scams Prevention Framework

Published April 1, 2026

Why SPF implementation is difficult in practice, from fragmented scam signals to cross-sector coordination and infrastructure disruption.

SPF enforcement infographic showing how scam prevention regulation is enforced through operational traceability, governance, evidence of execution, and cross-sector participation.

How Regulators May Enforce the Scams Prevention Framework

Published April 3, 2026

A practical view of how SPF enforcement may work, including evidence expectations, governance, traceability, and cross-sector accountability.

Scam intelligence infographic showing the shift from reactive fraud analytics to upstream scam intelligence, including campaign tracking, monetization mapping, and mule account visibility.

Why the Scams Prevention Framework Requires Better Scam Intelligence

Published April 5, 2026

SPF raises the standard from seeing suspicious payments to understanding the scam operation that created them.

Abstract illustration representing the evolution of scam regulation beyond SPF, showing shared accountability, infrastructure disruption, evidence quality, and intelligence-to-action maturity.

The Future of Scam Regulation After the Scams Prevention Framework

Published April 8, 2026

SPF is the beginning of operational scam regulation. What comes next and what organisations should build now.

Latest Insights

A comparative visual analysis showing the differences in scam response mechanisms and handling capabilities as organizations scale up their fraud operations and implement standardized evidence

Why Scam Response Needs Standardised Evidence, Not Just Analyst Notes

Published May 12, 2026

Repeatable scam response depends on standardised evidence, consistent reasoning, and traceable handoffs rather than fragmented analyst notes alone.

A detailed architectural view of the SPF Scam Prevention Operating Model, emphasizing how structured evidence supports reimbursement analysis, liability review, and governance reporting

What Banks Need Beyond Fraud Detection: An SPF Operating Model

Published May 8, 2026

How banks can move beyond traditional fraud controls toward an SPF-era operating model built around intake, verification, evidence, intelligence, disruption, and governance.

An infographic detailing the operational frameworks required for scaling enterprise scam prevention, moving from informal analyst notes to system-designed workflows that support consistent analysis

Campaign Intelligence vs Case Intelligence in Scam Prevention

Published April 24, 2026

Why scale, pattern recognition, and cross-channel correlation matter for disruption — and why case-by-case handling has a ceiling.

A comprehensive flowchart illustrating how enterprise security teams transform raw scam intelligence into actionable response operations, ensuring structured handoffs and effective threat disruption

What Makes Scam Intelligence Actionable

Published April 20, 2026

The operational difference between raw scam signals and actionable scam intelligence — campaign context, infrastructure linkage, prioritisation, and disruption value.

A process diagram of the enterprise-grade Scam Signal pipeline, demonstrating data collection, verification outputs, and how intelligence teams use structured evidence without the need for rework

How Public Scam Verification Creates Enterprise-Grade Scam Signals

Published April 16, 2026

How public scam verification moves beyond consumer education and becomes an early signal layer for enterprise prioritisation, correlation, and disruption.

A strategic roadmap defining the path to an effective scam response, highlighting the critical role of capturing core artefacts, reasoning, and timelines to ensure decisions are easy to reconstruct

From Verification to Evidence: What Makes a Scam Case Actionable

Published April 13, 2026

The gap between explainable verification and operational action — what evidence, reasoning, and context make a scam case fit for escalation and disruption.

A step-by-step workflow diagram outlining the standard phishing takedown process, from initial threat detection and evidence gathering to the final disruption and removal of malicious domains

How Phishing Takedown Actually Works

Published April 10, 2026

The real workflow behind phishing takedown — from intake and verification to structured evidence, provider action, monitoring, and multi-channel follow-up.

An analytical chart highlighting the core challenges in removing complex multi-channel scam infrastructure and social impersonation networks that demand coordinated action

Why Scam Infrastructure Is Hard to Remove

Published March 25, 2026

The operational barriers behind scam takedown — evidence thresholds, platform friction, jurisdictional complexity, campaign rotation, and multi-channel reappearance.

A structural breakdown of the architecture behind modern digital scams, revealing the underlying technical operations, network setups, and connected models used by threat actors

Understanding Scam Infrastructure

Published March 22, 2026

Scam infrastructure in practical terms — why websites, fake apps, social profiles, messaging channels, and payment touchpoints must be seen as one operating environment.

A trend analysis graphic tracking the evolution of social media impersonation tactics and showing how external scam assets become manageable through a strong and consistent evidence chain

Social Media Impersonation Is Now a Scam Infrastructure Problem

Published March 20, 2026

Why fake social profiles now function as scam infrastructure, how they reinforce scam campaigns, and why multi-channel disruption matters under SPF-era expectations.

NXDOMAIN hijacking in .ph domains — TLD-level wildcard DNS causes unregistered brand-like domains to resolve and redirect users to third-party content.

NXDOMAIN Hijacking in .ph: When Unregistered Domains Become a Brand Risk

Published May 6, 2026

A technical review of wildcard DNS, redirect chains, and why suspicious brand-like .ph domains are not always attacker-owned assets.

Fake news pages impersonating ABC and 9News used to funnel victims into a fake investment platform via CEO impersonation.

From CEO Impersonation to Deposits: Anatomy of a Fake-News Investment Scam Campaign

Published May 5, 2026

A coordinated late-April campaign abusing Australian media styling, public figures, and the CBA brand — and why executive impersonation is now a scalable scam acquisition system.

Diagram representing a closed-loop scam response model spanning verification and takedown

What Is a Closed-Loop Scam Response System?

Published March 28, 2026

A practical definition of the model that links scam verification, structured evidence, and infrastructure disruption.

Illustration of explainable scam verification and evidence-based decision making

Why Explainable Scam Verification Matters

Published March 27, 2026

Explainable reasoning turns weak scam signals into actionable cases for escalation, reporting, and fast takedown.

Illustration of scam reporting flowing into verification and disruption stages

Why Scam Reporting Alone Fails

Published March 26, 2026

Reporting creates visibility, but only verification and disruption reduce attacker capability and scam exposure.

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.