For cyber criminals, credential stuffing serves as a superior version of brute-force attacks. Brute-force attacks are effective to a certain degree, with hackers repeatedly “guessing” various usernames and passwords that are listed in massive “dictionaries” of popular letter, number and symbol combinations. But credential stuffing is like a “smarter brother” of brute-force assaults because it removes the guess work and seeks out login names and passwords which are already in use. Such information is readily available for sale in the black market, thanks to the aforementioned wealth of heavily repeated credential re-usage.
That’s why CISOs and their teams should consider behavioral biometrics as a critical component of their security strategy and solutions portfolio. Behavioral biometrics deliver an additional layer of defense that unfailingly thwarts credential stuffing because they do not rely on static or spoofable data. Instead, they successfully authenticate access attempts with superior accuracy by building user profiles based upon how employees or customers physically interact with devices.
Like fingerprints and snowflakes, every profile is its own because no two individuals hold a smartphone, swipe a screen, type on a keyboard, move a mouse, etc., in the same manner. This creates a distinct, physical signature for the profile that hackers and their bots simply cannot imitate. What’s more, behavioral biometrics greatly improves user experiences because it removes tedious steps such as attempting to remember and then type in passwords dozens of times a day. These steps cause digital friction which customers and employees would like to avoid.
With our behavioral biometrics deployed, detecting bots and automation becomes elementary. Not only is it possible to immediately separate bots from humans, but our machine learning engine also categorizes it, and automatically groups bots by their behavior. This gives you a full view of all types of automation used to access your system, and how common they are, from benign fintech apps to malicious credential stuffing. For a simplified breakdown of what bots, like credential stuffing, look like when compared to average user traffic through behavioral biometrics, see Figure 1 below.
Figure 1 Categorized automation (left) versus normal traffic (right)
Ultimately, behavioral biometrics solutions confirm that you really are you – with absolute certainty – and not a credential-stuffing threat. If you’d like to find out how we can help your company achieve this level of optimal, user experience-friendly cyber protection, then please contact us. Meanwhile, look for the next blog in our series that will be published soon to address social engineering attacks.