Deepfake Scams Using Albanese Duping Australians Out of $7.4 Million

Deepfake Scams Using Albanese Duping Australians Out of $7.4 Million

First seen 16 Aug 2026, 15:01 UTC Theguardianwww.afr.com 78% similarity 66.0

Article Content

Browse articles
ThreatCluster

Australia's corporate watchdog, ASIC, reported a surge in scams utilizing deepfakes of Prime Minister Anthony Albanese to promote fraudulent investment schemes. Victims are lured into these scams through manipulated videos that promise unrealistic returns, such as earning $40,000 a month from a $4,000 investment. Albanese is the most impersonated public figure, with Australians losing $7.4 million to the top 10 impersonated individuals. The rise in deepfake technology has made these scams more convincing, with scammers creating entire networks of fake brands and platforms. In the last financial year, ASIC dealt with over 19,400 scams, a significant increase from the previous year. The agency has taken down thousands of phishing links and fake investment platforms, highlighting the growing sophistication of these scams. ASIC warns that the presence of polished content does not guarantee legitimacy in investment opportunities.

Key Points: • Deepfakes of PM Albanese used in scams, promising unrealistic investment returns. • Australians lost $7.4 million to impersonation scams in the last financial year. • ASIC reported a dramatic increase in scam incidents, with over 19,400 cases.

ThreatCluster AI How this analysis works

Timeline

2025-07-01
ASIC's annual report on scams released
ASIC's report revealed a significant increase in scam incidents, with nearly 20,000 cases reported in the last financial year.
Theguardian
2026-08-16
ASIC warns of deepfake scams
ASIC reported a rise in scams using deepfakes of PM Albanese, with victims losing $7.4 million.
Theguardian
2026-08-16
Deepfake ads appear on YouTube
AI-generated scam ads featuring a deepfake of Albanese promise high earnings, raising concerns about platform responsibility.
www.afr.com

Community

Browse all →

Tracked Entities in This Story