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Alleged Use of Purported AI-Generated Identities to Defraud FTX Claims Buyers of $5.6M

6 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Deepfake Technology Developers, Synthetic Media Generation Technology Developers and 2 others and deployed by Fraudster Using Aliases Lim Chee Chong And Teh Jin Loon, Scammers and 1 other allegedly harmed Two Unnamed Companies That Purchased Fraudulent Ftx Debt Claims, Public Trust In Ftx Bankruptcy Claims Resolution Process and 4 others.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
6 reportsFeb 2025

What happened

An individual or group allegedly used AI-based face modification tools to impersonate FTX claimants in video calls, reportedly defrauding two companies of over $5.6 million in the secondary claims market. The perpetrator reportedly used forged IDs, deepfake-style visuals, and claim data likely obtained from public records or a prior breach at Kroll. Funds were alleged to have been laundered through exchanges including Binance, CoinEx, and Gate.io.

Laws that address this harm

Policy angle: Classified under Malicious Actors & Misuse (Fraud, scams, and targeted manipulation) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (6)

Titles link to the original publisher; report text is not reproduced here.

  1. $5.6 Million+ in Losses of FTX Debt Claims by Scam Group
    inca.digital · Inca Digital
  2. AI Fake May Have Scammed Firms for Millions in FTX Claims: Report
    coindesk.com · Jesse Hamilton, Nikhilesh De
  3. Crypto scam: $5.6m stolen in FTX debt claims fraud
    crypto.news · Micah Zimmerman
  4. Inca Digital uncovers AI-fueled FTX fraud scheme
    investing.com · Ahmed Abdulazez Abdulkadir
  5. AI Deepfake Scam Steals $5.6 in Fake FTX Claims Fraud
    tokenpost.com · TokenPost
  6. Fraudster reportedly stole $5.6M from FTX creditors using AI
    cybernews.com · Linas Kmieliauskas

Who was involved

Alleged harmed party
Two Unnamed Companies That Purchased Fraudulent Ftx Debt Claims, Public Trust In Ftx Bankruptcy Claims Resolution Process, Kroll, Ftx Estate, Cryptocurrency Market Participants Exposed To Fraudulent Claims Resale, Claims Verification And Due Diligence Infrastructures In Secondary Debt Markets

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
—

Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Misinformation and Manipulation

    "Recent studies have demonstrated that LLMs can be exploited to craft deceptive narratives with levels of persuasiveness similar to human-generated content (Pan et al., 2023b; Spitale et al., 2023), to fabri- cate fake n...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1067 on the AI Incident Database · all 6 reports