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The phone number we contact you with may be different each time. Enable 2-step for phone. 1. Sign in to your Account Security page. 2. Next to "2-Step Verification," click Turn on. 3. Select Phone number for your 2-step verification method. 4. Follow the on-screen prompts to complete the process. Sign in with 2-step for phone. 1.
• 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.
Call paid premium support at 1-800-358-4860 to get live expert help from AOL Customer Care. Find out how to add or delete a recovery mobile phone number or alternate email address from your AOL account.
Zazzle. Zazzle is an American online marketplace that allows designers and customers to create their own products with independent manufacturers (clothing, posters, etc.), as well as use images from participating companies. Zazzle has partnered with many brands to amass a collection of digital images from companies like Disney, Warner Brothers ...
Telephone number verification. Telephone number verification (or validation) services are online services used to establish whether a given telephone number is in service. They may include a form of Turing test to further determine if a human answers or answering equipment such as a modem, fax, voice mMail or answering machine .
In addition to the support options listed above, paid members also have access to 24/7 phone support by calling 1-800-827-6364. Learn about the support options AOL offers and how to access help for your question or issue.
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Filtering out phishing mail. Specialized spam filters can reduce the number of phishing emails that reach their addressees' inboxes. These filters use a number of techniques including machine learning and natural language processing approaches to classify phishing emails, and reject email with forged addresses.