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Incident 910: Alleged AI-Driven Phishing Scam Impersonates Maine Town Official to Falsely Request $22,500

Description: An alleged AI-generated phishing email targeted a resident of Gray, Maine, falsely claiming to be from the town’s planning department. The alleged email, bearing a fake signature and official-looking letterhead, requested $22,500 for a zoning board meeting. Town officials have reportedly warned residents of increasing risks posed by AI-enabled scams, emphasizing that the town does not accept electronic payments and urging vigilance against similar fraudulent emails.

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Alleged: Unknown deepfake technology developer developed an AI system deployed by Unknown scammers and Unknown fraudsters, which harmed Town of Gray Maine officials , Steven Souchek , Residents of Gray Maine , General public and Doug Webster.
Alleged implicated AI systems: Unknown AI-generated phishing email tool and Town of Gray Maine email system

Incident Stats

Incident ID
910
Report Count
1
Incident Date
2025-01-15
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceMaine Town Hit with Sophisticated AI-Generated Phishing Scam
Maine Town Hit with Sophisticated AI-Generated Phishing Scam

Maine Town Hit with Sophisticated AI-Generated Phishing Scam

themainewire.com

Maine Town Hit with Sophisticated AI-Generated Phishing Scam
themainewire.com · 2025

Town officials in Gray revealed during a Wednesday meeting of the Zoning Board of Appeals that an applicant to the board received a realistic looking AI-generated phishing email that was requesting thousands of dollars be wired to an addres…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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