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  2. The latest scams you need to be aware of in 2025 - AOL

    www.aol.com/latest-scams-aware-2025-153000705.html

    Employment scams use enticing, and hard-to-detect, lures to target people who've been out of work. Some scammers take a slow approach with interviews and a legitimate-seeming operation. They then ...

  3. Scammers send out billions of phony emails every day. Here's ...

    www.aol.com/scammers-send-billions-phony-emails...

    Approximately 1% of emails sent on a daily basis are malicious. If that low percentage doesn’t seem like a lot, consider that it translates to over 3 billion malicious emails a day and over a ...

  4. Protect yourself from internet scams - AOL Help

    help.aol.com/articles/protect-yourself-from...

    Phishing scams happen when you receive an email that looks like it came from a company you trust (like AOL), but is ultimately from a hacker trying to get your information. All legitimate AOL Mail will be marked as either Certified Mail, if its an official marketing email, or Official Mail, if it's an important account email. If you get an ...

  5. 'Skimming,' 'smishing,' and other scams to pay attention to ...

    www.aol.com/skimming-smishing-other-scams-pay...

    Hence, the scammer is writing fake reviews in your name. Fake reviews help boost product sales. While brushing may appear like a victimless crime, the reality is that the recipient's personal ...

  6. Use AOL Official Mail to confirm legitimate AOL emails

    help.aol.com/articles/what-is-official-aol-mail

    AOL Mail is focused on keeping you safe while you use the best mail product on the web. One way we do this is by protecting against phishing and scam emails though the use of AOL Official Mail. When we send you important emails, we'll mark the message with a small AOL icon beside the sender name.

  7. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    Online retailers and payment processors use geolocation to detect possible credit card fraud by comparing the user's location to the billing address on the account or the shipping address provided. A mismatch – an order placed from the US on an account number from Tokyo, for example – is a strong indicator of potential fraud.