Stolen photos online — find the truth.
Stolen photos are the infrastructure of online fraud. A convincing face is all a scammer needs to build a credible identity. Understanding where stolen photos come from, how they circulate, and why free tools miss them explains why professional investigation still matters — and why we built a dedicated service for it.
Our Stolen Photo Search service.
1. You submit the photo and context
Send us the photo or photos you want investigated, along with any context you have — platform, username, the story you were told. The more information you provide, the more targeted the investigation can be.
2. We search across multiple source types
Our investigators search public databases, mainstream and regional social networks, CIS-specific image archives, scam-warning registries, and closed-platform sources that no search engine indexes. Both stolen genuine photos and AI-generated images are covered.
3. We trace the photo's origin
If the photo has a traceable origin — a real person whose images were stolen, a modeling portfolio, a social network profile — we find it and document it. We establish who the photos actually belong to and where they first appeared.
4. You receive a written report
We deliver a formal written report documenting every finding — photo origin, platforms where it appears, identity of the real person if traceable, and our assessment of the situation. The report is suitable for platform fraud reports, law enforcement complaints, or your own records.
Where stolen photos come from — and why free tools miss them.
VKontakte and Odnoklassniki
The two largest Russian social networks are among the most heavily harvested sources for stolen photos. Photos from these platforms are poorly indexed by Western search engines but are easily found by investigators working with regional tools and databases.
CIS modeling and portfolio sites
Small Eastern European modeling portfolio sites and regional talent directories are systematically scraped because their photos rarely appear in Google or Bing. A face stolen from a Kyiv modeling agency website will not be found by a standard reverse image search.
Instagram and fitness accounts
Attractive, high-quality photos from fitness, lifestyle, and fashion accounts are prime targets. Some of these do appear in mainstream reverse image search — but only if the photo has not been edited or if the original source was indexed before the account was deleted.
Re-use through scammer networks
Once a set of stolen photos proves effective, it circulates through private forums and messaging groups. The same photos may be active on dozens of fake profiles simultaneously, in different countries, under different names. A single person's stolen photos can fuel many concurrent scams.
AI-generated faces — a separate problem
AI-generated faces are not stolen — they have never existed — and cannot be found by any reverse image search. They are detected by visual artifacts: smeared hair edges, mismatched eye reflections, unnatural facial symmetry. Human expert analysis is the most reliable detection method.
Hybrid profiles
Some fraud operations combine stolen body photos with AI-generated faces, or use AI for primary profile images and stolen photos for secondary evidence. Professional investigation covers both types in a single report.
27 years finding what free tools miss.
Free reverse image search engines cover the publicly indexed web. They are effective when a stolen photo has been published without modification in a location that has been crawled and cached. In practice, this catches a significant proportion of cases — but scammers who source photos from regional Eastern European platforms, crop or filter their images, or use AI-generated faces are invisible to mainstream tools.
AllRussian investigators have worked photo-origin cases since the early days of internet fraud. We have regional language skills, established database access, and specialist knowledge of Eastern European social and media sources that no algorithm replicates. If the photo has a traceable origin, we find it.
Everything on stolen photos.
- How to find out if a photo is stolenComplete step-by-step detection guide.
- How to find if a picture is stolenTool comparison — Google vs Yandex vs TinEye vs PimEyes.
- How to find out if someone stole your picturesFor people whose own photos may be in use.
- How to see if pictures are stolenVisual inspection guide — what to look for before searching.
- How to tell if a picture is stolenThree-layer method combining photo, account, and behaviour signals.
Find where the photo came from — with documentation.
3–5 business days. Written report. Subject never contacted. If the photo has an origin we can trace, we find it.