Etherscan Launches Machine-Learning Powered Surveillance Engine And Address Illegal Activities
Etherscan Launches Machine-Learning Powered Surveillance Engine And Address Illegal Activities
April 16, 2020
Etherscan Launches Machine-Learning Powered Surveillance Engine And Address Illegal Activities
Etherscan Launches Machine-Learning Powered Surveillance Engine And Address Illegal Activities
April 16, 2020

Etherscan, the popular Ethereum (ETH) block explorer, has launched a machine-learning powered surveillance engine to flag ETH and wallets that are associated with illegal activities.

It has been reported that wallets that have originated from illegal sources will now be blacklisted by allowing users to identify when coins they are receiving have a checkered history.

However, Etherscan announced its ETHProtect detection system in a blog post on April 14, as ETHProtect will generate “daily user reports on suspicious fraudulent activities” which will be reviewed and verified by Etherscan’s security research analysts.

Likewise, the detection system is designed to identify funds associated with hacks, scams, phishing, exploits and other suspicious activities.

The post states that ETHProtect’s “tracing is never static; the engine constantly traces and identifies any newly tainted addresses” in real-time.

Also, the announcement notes that previous experience has taught Etherscan that there is “no one-stop solution; it is an ever-evolving cat-and-mouse game with bad actors and their need to ‘wash’ tainted funds into fiat.”

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It has also been analyzed that if a user searches for a blacklisted wallet on Etherscan, the user will now encounter a red banner informing them that the funds contained within the wallet have previously been associated with criminal activity.

However, users can also examine the transaction history of the specific coins that are blacklisted by allowing users to determine when the funds moved through illegal channels, and the coins’ movements since.

Thus, wallet owners, who believe that they have been falsely flagged, are encouraged to reach out to Etherscan directly.

Source: Cointelegraph | Image: Bitcoinist


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Ishita Bora

Ishita Bora is a Senior Content Creator at Digital Notice Media Labs with an experience of 1 year. She has completed her Master's Degree in Language and Linguistics in 2019 from Gauhati University, India. Her interest lies in blockchain technology and cryptocurrency space, as she loves writing about blockchain and other blockchain-related articles. Currently, she is working on blockchain-based news, reviews, featured articles, and guides.
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