It is only halfway through 2025, and a leading exchange's anti-fraud record has already become quite solid. According to the latest data, this exchange issues over 9,600 risk alerts daily and blacklists more than 36,000 malicious addresses. The result? It has prevented potential scam losses amounting to hundreds of millions of dollars.
A more direct figure is—over $12.8 million in user losses have been recovered.
What does this reflect? First, on-chain scam activities are indeed occurring at a high frequency, and scammers' methods are iterating and upgrading. Second, the exchange's security system is truly effective, forming a complete defense loop from early warning to interception and fund recovery. For ordinary users, this means an extra layer of protection during use—though not 100% secure, at least someone is monitoring those dangerous signals.
The reason these kinds of data are worth paying attention to is not because the numbers themselves are large, but because of the workload and technical investment behind them. Every warning, every malicious address intercepted, represents the computational power consumption and decision-making costs of the anti-scam team.
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BearMarketLightning
· 01-18 08:59
3.9 billion USD? Sounds intense, but I'm more concerned about how the recovered 12.8 million is being distributed.
The evolution speed of scammers is really fast; we need to be extra cautious.
9600 warnings every day—this workload must be terrifying... But can we really trust that?
With such a low recovery rate, most of the money is still gone.
Luckily, someone is watching; otherwise, I would have lost my small amount of money long ago.
Fraud prevention is real, but fundamentally, we still have to rely on ourselves and not be greedy.
Who bears the cost of computing power consumption? Is it ultimately the users who pay?
Releasing this data is meant to boost confidence; I don't think it's that miraculous.
It has a bit of a boastful tone, but they have indeed taken action.
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LayerZeroJunkie
· 01-18 08:56
It's unbelievable to recover 12.8 million, scammers should be crying
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9600 warnings every day, how much workload is that
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Preventing 3.9 billion in scam losses, this number is even higher than what I earn haha
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Finally someone put malicious addresses on the blacklist, they were too arrogant before
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But you still have to be cautious yourself; exchanges can't prevent all scams
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Are on-chain scams so rampant? I need to be more careful
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$12.8 million recovered, this is an exchange that takes real action
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9600 warnings daily, scammers are really increasing
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No matter how strong the defense system is, user cooperation is needed; don't fall for phishing
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What does this data show? On-chain is indeed a sieve
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Strong recovery ability proves that security departments are indeed working diligently
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Prevented potential losses of 3.9 billion, the efficiency is pretty good
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The question is, how many scams can escape these 9600 warnings
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36,000 addresses on the blacklist, how long would overtime take to accumulate that many
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GasBankrupter
· 01-18 08:46
3.9 billion USD has been blocked? Damn, that's a pretty impressive number. The scammers are really stepping up their game.
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governance_lurker
· 01-18 08:45
3.9 billion USD blocked, but you still have to rely on your own judgment.
It is only halfway through 2025, and a leading exchange's anti-fraud record has already become quite solid. According to the latest data, this exchange issues over 9,600 risk alerts daily and blacklists more than 36,000 malicious addresses. The result? It has prevented potential scam losses amounting to hundreds of millions of dollars.
A more direct figure is—over $12.8 million in user losses have been recovered.
What does this reflect? First, on-chain scam activities are indeed occurring at a high frequency, and scammers' methods are iterating and upgrading. Second, the exchange's security system is truly effective, forming a complete defense loop from early warning to interception and fund recovery. For ordinary users, this means an extra layer of protection during use—though not 100% secure, at least someone is monitoring those dangerous signals.
The reason these kinds of data are worth paying attention to is not because the numbers themselves are large, but because of the workload and technical investment behind them. Every warning, every malicious address intercepted, represents the computational power consumption and decision-making costs of the anti-scam team.