Simple 3-Step Use
1. Open ScamFlag, 2. snap or upload a screenshot, and 3. instantly receive a risk verdict.
Reduce fraud losses, protect customer trust, lighten internal workload, and stay ahead of evolving scam tactics with AI-powered fraud disruption.
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ScamFlag is an AI-powered real-time, omnichannel scam detection that protects users and banks’ reputations. It analyzes images—including photos and screenshots—from any digital channel (SMS, WhatsApp, email, web) to detect deceptive content, phishing attempts, fake payment requests, and fraudulent sites.
With cross-channel coverage and bank-grade signal sharing, ScamFlag helps your institution recognize threats early and intervene before scams turn into fraud.
TRY SCAMFLAGScamFlag helps stop scams in their tracks, right at the moment it matters most.
Powered by ThreatMark’s behavioral intelligence, ScamFlag instantly detects and flags fraudulent messages across email, SMS, and messaging platforms.
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1. Open ScamFlag, 2. snap or upload a screenshot, and 3. instantly receive a risk verdict.
Data is end-to-end encrypted, kept briefly for scoring, then auto-deleted to maintain compliance.
Deep-learning models give sub-second results at 99% accuracy, letting your fraud team focus on critical alerts.
From phishing to authorized push-payment fraud, ScamFlag spots threats on every digital channel your customers use.



Find answers to your most pressing questions about ScamFlag and its features.
ScamFlag is designed to detect symptoms of common tricks fraudsters, particularly scammers, use to trick users. These include (but not limited to) marketplace scams, romance scams, investment scams, fake merchant scams, phishing, smishing and business email compromise.
It works across multiple channels and modalities, so users can take or upload pictures of websites advertising products, bank login screens, WhatsApp and SMS conversations, e-mail messages, and more.
Users benefit from real-time responses indicating whether what they see is likely a scam or other form of fraud attempt, including recommended steps to take.
ScamFlag is powered by GenAI, trained on scam samples to analyze omnichannel information for signs of suspicious text strings, deceptive language, and fake graphical artifacts. It analyzes any picture from the structural perspective, extracts visible text found in the picture, and tries to understand the context. If it finds any link or bank account number, it checks it against public sources and the ThreatMark internal intelligence database.
The detection efficacy of ScamFlag depends on the quality of the data provided. When evidence is submitted, whether it be a screenshot of the conversation or a photo of the phishing website, ScamFlag achieves an accuracy of approximately 99% compared to live fraud experts. In other words, 99 out of 100 submitted screenshots or photos are correctly evaluated.
Based on the provided evidence, from a screenshot of a conversation to a photo of a phishing website, ScamFlag delivers a clear result along with a detailed explanation. For example, when a phishing e-mail is submitted, ScamFlag lists all attributes that led to its classification as phishing (e.g., unsolicited links, urgency in the message, unknown sender, untrusted domain, and other indicators).
Typically not. ScamFlag uses the permissions already granted to the hosting banking app, which usually includes access to essential features like storage and camera by default, only as needed for functionality.
No, ScamFlag is seamlessly integrated into your existing banking app, ensuring a frictionless user experience.
ScamFlag is priced based on the size of your user base. To get a quote, please fill out the application form.
Yes. ScamFlag exists as a standalone solution and can easily complement your existing tech stack. However, for the best results, we recommend using it as part of the full ThreatMark platform.

See how fast, accurate, and seamless scam detection can be for your customers—built directly into your digital banking experience.