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2. Contact AOL customer support - AOL Help

   help.aol.com/articles/account-management...

   Call live aol support at. 1-800-358-4860. Get live expert help with your AOL needs—from email and passwords, technical questions, mobile email and more.

3. Customer proprietary network information - Wikipedia

   en.wikipedia.org/wiki/Customer_proprietary...

   Customer proprietary network information ( CPNI) is the data collected by telecommunications companies about a consumer's telephone calls. [1] It includes the time, date, duration and destination number of each call, the type of network a consumer subscribes to, and certain other information that appears on the consumer's telephone bill.

4. Add or disable 2-step verification for extra security - AOL Help

   help.aol.com/articles/2-step-verification...

   1-800-358-4860. Get live expert help with your AOL needs—from email and passwords, technical questions, mobile email and more. Add or disable 2-step verification for extra security. Add an extra security step to sign into your account with 2-step verification. Find out how to turn on 2-step verification and receive a verification code, and ...

5. Fix problems signing into your AOL account

   help.aol.com/articles/help-signing-in

   Call paid premium support at 1-800-358-4860 to get live expert help from AOL Customer Care. Having trouble signing in? Find out how to identify and correct common sign-in issues like problems with your username and password, account locks, looping logins, and other account access errors.

6. 30 Scam Phone Numbers To Block and Area Codes To Avoid - AOL

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

   Since there is no limit to a scam artist’s potential, recognizing signs of common scams will serve you well. Here are examples of three of the most common scams out there today and how to block ...

7. QR code - Wikipedia

   en.wikipedia.org/wiki/QR_code

   The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [5] [6] [7] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [8] the pattern of position detection was found and determined by applying the least-used ratio (1:1:3 ...