Last updated: 2026-03-14
By Bheshaj T. — Building Crypto Scam Dataset | Blockchain Forensic | Malware Researcher | Threat Intelligence Analyst | Crypto Investigation | GREM | CREA | CEH | CCFI | ATII DARKWEBATHON Winner
Gain early access to a research-first tool that quickly checks crypto addresses against a curated scam dataset, helping you accelerate investigations, improve accuracy, and validate findings with less context switching. Join a community-driven testing phase to shape the next version with your real-world feedback and use cases.
Published: 2026-03-14
Users can rapidly confirm whether a crypto address is linked to scams using a curated dataset, reducing investigation time and boosting confidence in findings.
Bheshaj T. — Building Crypto Scam Dataset | Blockchain Forensic | Malware Researcher | Threat Intelligence Analyst | Crypto Investigation | GREM | CREA | CEH | CCFI | ATII DARKWEBATHON Winner
Gain early access to a research-first tool that quickly checks crypto addresses against a curated scam dataset, helping you accelerate investigations, improve accuracy, and validate findings with less context switching. Join a community-driven testing phase to shape the next version with your real-world feedback and use cases.
Created by Bheshaj T., Building Crypto Scam Dataset | Blockchain Forensic | Malware Researcher | Threat Intelligence Analyst | Crypto Investigation | GREM | CREA | CEH | CCFI | ATII DARKWEBATHON Winner.
Senior crypto investigators evaluating suspicious wallets, Blockchain analysts conducting OSINT-led scam research, Cybersecurity professionals validating threat intel against emerging scams
Interest in education & coaching. No prior experience required. 1–2 hours per week.
Curated scam dataset for quick verification. Cross-tool efficiency with consolidated checks. Community-driven feedback to improve accuracy. Real-world use cases shape future features
$0.70.
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