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• Don't use internet search engines to find AOL contact info, as they may lead you to malicious websites and support scams. Always go directly to AOL Help Central for legitimate AOL customer support. • Never click suspicious-looking links. Hover over hyperlinks with your cursor to preview the destination URL.
On TrustPilot, this scam site has a 1.7-star rating from 20 reviews. Various consumer reviews state that the products are nothing like what the pictures on the site indicated, claiming they don ...
Scam phone numbers and area codes typically involve calls you receive from numbers you don’t recognize. Often there is no customer service you can contact or law enforcement you can involve for ...
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.
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.
Scams and confidence tricks are difficult to classify, because they change often and often contain elements of more than one type. Throughout this list, the perpetrator of the confidence trick is called the "con artist" or simply "artist", and the intended victim is the "mark".
Reports on the purported scam are an Internet hoax, first spread on social media sites in 2017. [1] While the phone calls received by people are real, the calls are not related to scam activity. [1] According to some news reports on the hoax, victims of the purported fraud receive telephone calls from an unknown person who asks, "Can you hear me?"
A lot of people look at customer reviews online before they make a purchase. After all, they're like vicarious test-drives: You get the benefit of previous users' experiences in deciding whether a ...