Reporting malicious activities to hosting providers and domain registrars is a critical measure in combating online threats such as phishing, malware distribution, and other forms of cybercrime.
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Offering tools for users and administrators to report suspected phishing sites, contributing to the service's database and helping to protect the wider community.
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Utilizing a continuously updated database of URLs that have been identified as phishing sites to block them proactively.
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Employing advanced machine learning algorithms to identify new phishing sites based on patterns and similarities to previously detected phishing attempts.
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Scanning and analyzing websites in real-time to detect characteristics commonly associated with phishing.
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Real-time monitoring of blockchain transactions, analysis to identify suspicious activity indicating a potential drainer attack, and alerts to users about possible threats to their digital assets.
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Our team is dedicated to combating phishing and scam activities. Should you encounter any fraudulent domains, we urge you to report them directly to our bot at https://t.me/PhishDestroy_bot. Through collective effort, we can expedite the process of blocking phishing sites. To date, we have successfully neutralized over 45,000 crypto scam and phishing domains. Join us in our mission to eradicate fraud and phishing from the digital landscape.
Our bot hangs a red alert in MetaMask and Chrome for 10-15 minutes. Just send the link to the bot and see the result.
Users
Link monitoring
Blocked for 31 days
No need to feel sorry for them, they don't feel sorry for us.
Reporting to the Registrar involves notifying the domain registration authority about malicious activities associated with a specific domain name.
Sends a letter asking you to stop the resource.
To more than 45 antiviruses we refer the detected fraudulent website
Add the scammer's wallet to the database and help block funds.
This is an all-volunteer, all-volunteer, all-volunteer project.
We have a common goal of protecting web3 from phishing and scamming.
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