THREAT INTELLIGENCE

Deepfake Incident Database

A live census of publicly reported deepfake and synthetic-media incidents — sort, filter and trace how attack types are trending across targets and time.
Community evidence intake

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Reporting window
Last 7 days16generated deepfakes 6% vs prior 7d
Last 30 days87generated deepfakes 60% vs prior 30d
Last 365 days1.5Kgenerated deepfakes 135% vs prior 365d
Incidents2.2Kin period
Direct losses$1.2B147 incidents with verified losses
Media coverage4.5Kreports
Estimated reach632.5Bpotential monthly audience
Monthly incidents by attack type

Recorded threat activity

Solid = recorded · dashed = projected next 30 days
08216424532707/2508/2509/2510/2511/2512/2501/2602/2603/2604/2605/2606/2607/2608/26Next 30d
Weekly incidents

By victim

Recorded incidents
0183654722026-05-11: 67 incidentsMay 112026-05-18: 72 incidents2026-05-25: 52 incidentsMay 252026-06-01: 49 incidents2026-06-08: 53 incidentsJun 82026-06-15: 57 incidents2026-06-22: 49 incidentsJun 222026-06-29: 62 incidents2026-07-06: 37 incidentsJul 62026-07-13: 36 incidents2026-07-20: 12 incidentsJul 202026-07-27: 18 incidents2026-08-03: 25 incidentsAug 32026-08-10: 3 incidents
Intensity

Attack type heatmap

Monthly recorded incidents
09/2510/2511/2512/2501/2602/2603/2604/2605/2606/2607/2608/26
CSAM23141821132321381693
NCII589139678332994
Corporate fraud477849137106145
Consumer fraud1012162681581148373513
Political disinformation5161526111632158269264
Brand & reputation202842461252412911672491
Cross-analysis

Incident pivot

Configure dimensions and measure
Attack typeEnterprise/corporateGeneral publicGovernment/public sectorInstitutionalPrivate individualPublic figure / celebrityTotal
Brand & reputation117572441105401745
CSAM01012258235
Consumer fraud2970023525359
Corporate fraud1400191634182
NCII1221136105247
Political disinformation311888713211440
By modality2.2K
2.2K

Video38%

Image37%

Audio19%

Text4%

Unknown1%

By victim2.2K
2.2K

Public figure / celebrity34%

Private individual32%

General public12%

Enterprise/corporate12%

Government/public sector6%

Institutional3%

By impact2.2K

Low71%

Medium13%

High12%

Critical4%

Minimal0%

By target2.2K

Public figures1K

Private individual674

Employees154

Brands128

Government126

Institutional113

Voice relevance2.2K

Medium825

Low712

High585

Unknown86

Attack type2.2K

Brand & reputation745

Political disinformation440

Consumer fraud359

NCII247

CSAM235

Corporate fraud182

Financial harm

Monthly verified direct losses

Reported losses shown in USD
$0$25M$50M$75M$100M07/2508/2509/2510/2511/2512/2501/2602/2603/2604/2605/2606/2607/2608/26
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