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2. What are phishing scams trying to do? An explainer - AOL

   www.aol.com/news/what-are-phishing-scams-aol...

   The best way to protect yourself from these online attacks is to understand what they are and what phishing scams are trying to do. And, of course, you need good systems in place to protect yourself.

3. Go phish? Cybersecurity experts explain what phishing scams are

   www.aol.com/lifestyle/phish-cybersecurity...

   The best way to protect yourself from these online attacks is to understand what they are and what phishing scams are trying to do. And, of course, you need good systems in place to protect yourself.

4. Identify legitimate AOL websites, requests, and communications

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

   Best practices • Don't enable the "use less secure apps" feature. • 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.

5. How to spot a scam online - AOL

   www.aol.com/lifestyle/over-60-tell-someone...

   And whatever you do, don’t send cash, gift cards, or money transfers. You can report scam phone calls to the FTC Complaint Assistant. Online scam No. 4: "Tech support” reaches out to you ...

6. Protect yourself from internet scams - AOL Help

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

   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. If you get an ...

7. Trend Micro Internet Security - Wikipedia

   en.wikipedia.org/wiki/Trend_Micro_Internet_Security

   Trend Micro Maximum Security scored the highest success rate in blocking malware downloads in NSS Labs’ 2014 Consumer Endpoint Protection test focused on Socially Engineered Malware. The results were based on continuous series of tests to determine the participants’ effectiveness against socially engineered malware.