The solution to mule network fraud involves systematically scraping and analyzing various websites, advertisements, and Telegram channels to identify prohibited business activities. Once identified, the mule account IDs are extracted and blocked. This information is then shared across the entire financial ecosystem to prevent fraudsters from using alternative accounts. However, this approach faces limitations as detection often occurs after the damage has already been done.
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How AI Exposes 'Mule Networks' & Prohibited Business Fraud本站收录:
#Fintech #CyberSecurity #FinancialFraud #TechNews #BankingSecurity
Yep. So, this is what we call a mule network.
issue for every single bank in India as well.
Um because there are a lot of categories like your gambling or adult content or gaming which are prohibited by card networks and financial institutions. Uh what they do is they get these mule accounts and they do the transactions through these mule accounts. So, even if one is blocked, there are 1,000 more that they can accept so on.
So, the way that we actually solve this also is uh they've very specific websites. Uh they've very specific channels on which uh these fraudsters work on. Right. It's a Telegram, they're meta ads, uh there's a lot of uh Play Store ads and all of this. Uh so, the way to do it is being able to scrape through all of these different websites, these ads, these Telegram channels, figure out which ones uh are running a prohibited business and then get the mule account IDs from there and then block those and then share that across the entire ecosystem.
Interesting. Yeah, but I mean once the once the mule account is actually figured out, unless you're at the top level of it, Yeah. it's already going to be too late, right?
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