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  2. Identify legitimate AOL websites, requests, and communications

    help.aol.com/articles/identify-legitimate-aol...

    • Fake email addresses - Malicious actors sometimes send from email addresses made to look like an official email address but in fact is missing a letter(s), misspelled, replaces a letter with a lookalike number (e.g. “O” and “0”), or originates from free email services that would not be used for official communications.

  3. Phishing - Wikipedia

    en.wikipedia.org/wiki/Phishing

    Another popular approach to fighting phishing is to maintain a list of known phishing sites and to check websites against the list. One such service is the Safe Browsing service. [109] Web browsers such as Google Chrome, Internet Explorer 7, Mozilla Firefox 2.0, Safari 3.2, and Opera all contain this type of anti-phishing measure.

  4. AI voice scams are on the rise. Here's how to protect yourself.

    www.aol.com/ai-voice-scams-rise-heres-211554155.html

    Scammers are using AI-powered voice-cloning tools to prey on people. But experts say there's a simple way to protect you and your family.

  5. AOL Help

    help.aol.com

    Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  6. AOL Mail - AOL Help

    help.aol.com/products/aol-webmail

    Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  7. Lottery scam - Wikipedia

    en.wikipedia.org/wiki/Lottery_scam

    Another type of lottery scam is a scam email or web page where the recipient had won a sum of money in the lottery. The recipient is instructed to contact an agent very quickly but the scammers are just using a third party company, person, email or names to hide their true identity, in some cases offering extra prizes (such as a 7 Day/6 Night Bahamas Cruise Vacation, if the user rings within 4 ...

  8. Data analysis for fraud detection - Wikipedia

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

    Hybrid knowledge/statistical-based systems, where expert knowledge is integrated with statistical power, use a series of data mining techniques for the purpose of detecting cellular clone fraud. Specifically, a rule-learning program to uncover indicators of fraudulent behaviour from a large database of customer transactions is implemented. [14]

  9. AOL

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