$12.5B
FTC-reported fraud losses in 2024
FTC says consumers reported losing $12.5 billion to fraud in 2024.
Scammers use AI deepfake technology to create realistic but fabricated explicit images or videos of the victim from their public photos, then demand payment to prevent distribution.
“sextortion scam”
↑ 73%Key indicators
Estimated impact
$900
median reported loss
Scam breakdown
Scammers scrape publicly available photos from social media profiles.
AI tools generate realistic explicit images by superimposing the victim's face onto fabricated content.
The scammer contacts the victim with the fake images and demands cryptocurrency payment to prevent distribution to friends, family, or employers.
What to do first
Do not pay — the images are fabricated and paying does not guarantee deletion.
Related terms
Real-world example
Based on reported patterns. Names and details are illustrative.
The setup
Michael, 17, a teenagers, encountered what appeared to be a legitimate sextortion scams situation while using Social media. Scammers scrape publicly available photos from social media profiles.
Step 2
What happened next was calculated: AI tools generate realistic explicit images by superimposing the victim's face onto fabricated content.
Step 3
The pressure escalated quickly: The scammer contacts the victim with the fake images and demands cryptocurrency payment to prevent distribution to friends, family, or employers.
The outcome
Michael realized something was wrong when explicit images appear realistic but victim never took them. By that point, significant damage had already been done — money sent, personal information shared, or trust exploited.
The lesson
Do not pay — the images are fabricated and paying does not guarantee deletion. Michael's experience shows why explicit images appear realistic but victim never took them and scammer references public social media photos as source material are the clearest early warning signs.
How to identify it
What to do now
What to save before reporting
How big is this problem
These numbers come from government agencies and official reports. If you have been affected, know that this is a widespread problem — not something that only happens to careless people.
$12.5B
FTC says consumers reported losing $12.5 billion to fraud in 2024.
Imposters
FTC says imposter scams remained the most commonly reported fraud category in 2024.
History and evolution
Recovery and follow-up
Why this pattern keeps working
Even when the story changes, most scams still use the same pressure pattern: urgency, authority, and a request to move money or data fast.
The FBI issued a public service announcement in 2023 warning about the increasing use of AI-generated deepfakes in sextortion schemes targeting both adults and minors.
FBI IC3 2024
Where to report it
If you have been targeted by this scam, reporting it helps authorities track the pattern and protect others. United States has dedicated agencies that handle fraud reports.
ReportFraud.gov
Federal Trade Commission
Central U.S. consumer fraud reporting portal.
File an IC3 complaint
FBI Internet Crime Complaint Center
FBI portal for internet-enabled crime reports.
Start identity theft recovery
IdentityTheft.gov
Official U.S. identity theft recovery plan builder.
Explore further
Who is most at risk
Primary targets
Teenagers, Young adults, Adults, Professionals
Geographic concentration
United States, United Kingdom, Canada, Australia
Primary channel
Social media — Sextortion scams
Why this group is vulnerable
Teenagers are particularly vulnerable because this scam exploits trust in familiar brands, authority figures, and time-sensitive decisions. The growing number of reports suggests that awareness among this demographic remains low.
Sources and methodology
OpenScam tracks scam patterns using a combination of government consumer protection databases (FTC, IC3, Action Fraud), platform-specific fraud reports, and verified consumer complaint data. Each entry is cross-referenced against at least two independent sources before publication.
Severity ratings are based on financial impact potential, reversibility of damage, and volume of reports across multiple reporting channels. Trend velocity reflects the rate of change in report volume over the most recent 90-day window.
This page was last verified on 2026-04-04. Red flags, recovery steps, and reporting resources are reviewed quarterly against current agency guidance.
Evidence and indicators
Source notes
Frequently asked questions
Scammers scrape publicly available photos from social media profiles. AI tools generate realistic explicit images by superimposing the victim's face onto fabricated content. The scammer contacts the victim with the fake images and demands cryptocurrency payment to prevent distribution to friends, family, or employers.
Explicit images appear realistic but victim never took them Scammer references public social media photos as source material Demands escalate rapidly — payment first, then silence money
Do not pay — the images are fabricated and paying does not guarantee deletion. Report to the FBI IC3 and the platform where contact was made; request takedowns on any site hosting the images. Document everything and consult with law enforcement — many jurisdictions now have specific deepfake laws.
This scam primarily targets Teenagers, Young adults, Adults, Professionals. It is most commonly reported in United States, United Kingdom, Canada, Australia and typically appears on Social media.
deepfake sextortion scam is currently on the rise with growing reports. It has been reported across US, UK, CA, AU. Last updated 2026-04-04.
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Help someone avoid this scam.
Scammers succeed because people do not talk about it. If you or someone you know has been affected, there is no shame in it — it happens to millions of people every year. Share this page with friends and family so they know what to look for.