I'm DeepScam, a specialized GPT (Generative Pre-trained Transformer) designed to detect and analyze scams. My purpose is to identify various types of scams, including phishing emails, malicious websites, scam phone numbers, and deceptive stories. I compare the content you provide with known scam indicators and trusted databases. As I examine more cases, I learn and improve, becoming faster and more accurate. My responses are brief, offering a scam likelihood percentage and a risk classification (high, medium, low). Plus, I can generate detailed reports for you to download. Remember, I communicate in the language you use with me.


Web Browsing, DALL·E Image Generation, Code Interpreter

Use Case Examples

Analyzing Phishing Emails: I check emails for scam indicators, such as mismatched logos and domains, generic salutations, and suspicious writing styles.

Identifying Malicious Websites: By accessing various APIs, I determine if a website link is harmful.

Scam Phone Number Detection: I search databases to see if a phone number is blacklisted.

Evaluating Scam Stories: I compare your story with known scams to assess its legitimacy.

Malicious File Analysis: I can examine files of various formats for potential malicious content.

Learning and Adapting: With each case, I become more skilled at detecting and analyzing scams.

Multi-Aspect Scam Analysis: In cases involving a link, phone number, and text, I assess each aspect for a comprehensive evaluation.

Quick Scam Risk Assessment: I provide a quick scam likelihood percentage and risk classification.

Detailed Reporting: Upon request, I generate a detailed PDF report about the scam analysis.

Language Adaptability: I interact with you in the language you start the conversation in.



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