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  2. Identify legitimate AOL websites, requests, and communications

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

    • Don't reply to any SMS request asking for a verification code. • Don't respond to unsolicited emails or requests to send money. • Pay attention to the types of data you're authorizing access to, especially in third-party apps.

  3. Protect yourself from internet scams - AOL Help

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

    If you get an email providing you a PIN number and an 800 or 888 number to call, this a scam to try and steal valuable personal info. These emails will often ask you to call AOL at the number provided, provide the PIN number and will ask for account details including your password.

  4. Manage spam and privacy in AOL Mail

    help.aol.com/articles/aol-mail-spam-and-privacy

    Select the email. Click Spam.; If you're given the option, click Unsubscribe and you will no longer receive messages from the mailing list. If you click the "Mark as Spam" icon, the message will be marked as spam and moved into the spam folder.

  5. 30 Scam Phone Numbers To Block and Area Codes To Avoid - AOL

    www.aol.com/19-dangerous-scam-phone-numbers...

    Look at the area code: Start by comparing the phone number’s area code to the list of area codes you should never answer. If it’s on the list, there’s a good chance there’s a scammer on ...

  6. Missing emails? How to find and check your spam folder

    www.aol.com/lifestyle/missing-emails-check-spam...

    Digital junk mail is just like the unwanted coupons, flyers and other stuff you get in your mailbox, except your spam folder is separate from your main email inbox — so if you never check it and ...

  7. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    Naive Bayes spam filtering is a baseline technique for dealing with spam that can tailor itself to the email needs of individual users and give low false positive spam detection rates that are generally acceptable to users. It is one of the oldest ways of doing spam filtering, with roots in the 1990s.

  8. Jim Browning (YouTuber) - Wikipedia

    en.wikipedia.org/wiki/Jim_Browning_(YouTuber)

    Jim Browning is the Internet alias of a software engineer and YouTuber from Northern Ireland [1] whose content focuses on scam baiting and investigating call centres engaging in fraudulent activities.

  9. Technical support scam - Wikipedia

    en.wikipedia.org/wiki/Technical_support_scam

    Technical support scams rely on social engineering to persuade victims that their device is infected with malware. [15] [16] Scammers use a variety of confidence tricks to persuade the victim to install remote desktop software, with which the scammer can then take control of the victim's computer.