Users and their credentials are among the weakest links in an organization’s security infrastructure. As such, the majority of breaches involve credential theft at some point in the attack lifecycle. With credential abuse as part of the attackers’ toolset, their chances of successfully breaching go up, and their risk of getting caught goes down.
Preventing credential theft, which often occurs via phishing attacks, reduces exposure to one of the most prevalent forms of targeted attacks on organizations. These measures are crucial when dealing with targeted phishing attacks, which typically go after non-technical employees through previously unknown phishing sites.
Most organizations work to stop these attacks primarily through employee education, which is prone to human error by nature.
Technology products commonly rely on identifying known phishing sites and filtering email, but these methods are easily bypassed as checking for known bad sites will miss newly created ones, and attackers can evade email filtering technology by sending links through social media.
A next-generation firewall with machine learning-based analysis can accelerate protection. If the analysis identifies a site as malicious, your firewall should be updated and block it.
Still, there will always be never-before-seen phishing sites that are treated as “unknown.” To protect your network and users, it’s critical to prevent submission of credentials to unknown sites. By using credential filtering, organizations can whitelist authentication to authorized applications and block credential submission to unknown sites.
Click here to learn more about the 10 things to test for in your future NGFW.
Learn more about the 10 things to test for in your future NGFW.