Phishing detection is a growing problem that requires new methods to detect malicious websites. Traditional approaches use blacklists or whitelists to mitigate the threat, but they do not cover phishing attacks that are 0-day and non-blacklisted. To overcome this, many researchers have been using machine learning techniques to identify phishing websites more effectively.

To prevent phishing detection , employees should check the email domain (the name after @). This will help identify legitimate emails. Also, never share personal information with strangers in an email. Legitimate companies will not request sensitive information like passwords, credit card details, or Social Security numbers over email.

Unveiling Phishing Attacks: How to Detect and Safeguard Against Email and Website Scams

Another red flag is if the email does not pass SPF, DKIM, or DMARC checks. These checks validate the authenticity of an email’s sender, domain, and link. If an email does not pass these checks, report it as a possible phishing attack.

Finally, look out for typos and grammatical errors in an email. Attackers are less concerned with being grammatically correct and these mistakes should raise suspicion. Also, remember that legitimate companies provide thorough contact information below or around their signatures. If a company does not have this detail in their email, it is likely a scam.