IMAGE
COMMERCIAL
RAW
Impersonation fraud is a conversation: the fake bank agent establishes who they are, builds urgency, then asks for the thing, and single-message datasets miss that structure. Contributors screenshot the whole exchange with the impersonated identity and the fraudulent request both visible, and are told not to reply; genuine support chats and cropped screenshots are rejected. The task is open only in 11 Southeast Asian countries, where the impersonated parties are typically GCash, Maya, DANA, OVO, Touch 'n Go and the local banks, in local languages, a pattern unlike the US "tax agency" corpora. No channel, target or tactic labels are included; names and request text are legible in every image.
Volume
10,000+
Screenshots
Contributors
2,000+
Regions
Southeast Asia (11 countries)
Updated
What’s in the collection and how it’s delivered.
Data modality
Images
Annotated
Raw (no labels)
Exclusivity
Non-exclusive rights
Capture tool
Phone screenshots
Use cases
Social-engineering and impersonation detection, multi-turn scam conversation modeling, e-wallet fraud defense
Format
JPG / PNG / HEIC
Resolution
Native device screen resolution (JPG, PNG, HEIC)
Total volume
10,000+ screenshots (approx. 10 GB)
Regions
Southeast Asia (11 countries)
Purity level
99% passed QA review
Where this data comes from and how it’s licensed.
Every file comes straight from the contributor who provided it and is rights-cleared before it’s listed, so your license traces back to the source.
Contributor
Provides the data and uploads it straight to Kled.
Kled
Clears the rights before anything is listed.
Your team
Licenses it under the terms below.
License terms
Non-exclusive commercial training license.
Consent
Each contributor opted in to this use when they uploaded.
Specs reflect the current collection and may change as new data is added. Final terms are set in your license agreement.



