Data for Analysis: The collected data is used by:

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Public Database: The reported addresses are then added to a publicly accessible database. Users can search this database to check if a Bitcoin address they are interacting with has been flagged as malicious.


Victims: To verify if an address they've bingx database been asked to send money to is known to be fraudulent.
Cryptocurrency Exchanges and Wallets: To implement blacklists or flag suspicious transactions, helping to prevent funds from being sent to known illicit addresses.

Law Enforcement and Researchers: To track the flow of illicit funds, understand the patterns of crypto-related crimes, and develop better strategies for prevention and investigation. Researchers often leverage this dataset, alongside blockchain analytics, to characterize illicit activities and financial flows in the Bitcoin ecosystem.

Security Professionals: To integrate into security monitoring solutions to detect and respond to Bitcoin-related security threats.
Key Aspects and Features:
Categorization: Reports are often categorized by the type of abuse (e.g., Ransomware, Darknet Markets, Sextortion, Blackmail Scams, Investment Scams, Phishing).
Transparency (of Reports): While the actual blockchain transactions are pseudonymous, the reporting mechanism aims to bring transparency to addresses associated with known bad actors.