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Incident 1047: Australian Analyst Allegedly Targeted by Scam Using Purportedly Sophisticated AI-Generated Corporate Materials

Description: A report by ABC News Australia describes how scammers allegedly used AI tools to create detailed fake websites for two fabricated companies, APPC Capital Singapore and Thackeray Mines and Minerals Inc., as part of an investment scam. A pseudonymous Australian fraud analyst ("Leon") was reportedly targeted. Experts cited in the article warn that AI lowers the barrier for generating convincing scams that can deceive even experienced analysts.

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Entities

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Alleged: Unknown generative AI developers and Unspecified generative AI developers developed an AI system deployed by Unknown scammers , Unknown cybercriminals , APPC Capital Singapore and Thackeray Mines and Minerals Inc., which harmed "Leon" (pseudonymous Australian fraud analyst) , General public of Australia and General public.
Alleged implicated AI systems: Generative image models , AI-assisted website generation tools , Language models used to fabricate bios and documents and Possibly AI-generated financial data visualization tools

Incident Stats

Incident ID
1047
Report Count
1
Incident Date
2025-04-27
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.3. Fraud, scams, and targeted manipulation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

+1
How AI is being used to create sophisticated scams that leave even experts second-guessing
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How AI is being used to create sophisticated scams that leave even experts second-guessing

How AI is being used to create sophisticated scams that leave even experts second-guessing

abc.net.au

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How AI is being used to create sophisticated scams that leave even experts second-guessing
abc.net.au · 2025

Leon knows a scam when he sees it --- he's a fraud and data analyst who has previously worked for financial institutions.

But even he was left second-guessing when he was contacted by scammers who he believes used artificial intelligence to…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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