
The evidence was most likely obtained from hacks and spillages and then used as the source for credential stuffing attacks to glean information to create the bogus evidence. health and beauty retailer Superdrug was targeted with an attempted blackmail, with hackers showing purported evidence that they had penetrated the company's site and downloaded 20,000 users' records. The term was coined by Sumit Agarwal, co-founder of Shape Security, who was serving as Deputy Assistant Secretary of Defense at the Pentagon at the time. More than three billion credentials were spilled through online data breaches in 2016 alone.
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Wired Magazine described the best way to protect against credential stuffing is to use unique passwords on accounts, such as those generated automatically by a password manager, enable two-factor authentication, and to have companies detect and stop credential stuffing attacks. According to former Google click fraud czar Shuman Ghosemajumder, credential stuffing attacks have up to a 2% login success rate, meaning that one million stolen credentials can take over 20,000 accounts. In 2017, the FTC issued an advisory suggesting specific actions companies needed to take against credential stuffing, such as insisting on secure passwords and guarding against attacks. Ĭredential stuffing attacks are possible because many users reuse the same username/password combination across multiple sites, with one survey reporting that 81% of users have reused a password across two or more sites and 25% of users use the same passwords across a majority of their accounts.

Unlike credential cracking, credential stuffing attacks do not attempt to use brute force or guess any passwords – the attacker simply automates the logins for a large number (thousands to millions) of previously discovered credential pairs using standard web automation tools such as Selenium, cURL, PhantomJS or tools designed specifically for these types of attacks, such as Sentry MBA, SNIPR, STORM, Blackbullet and Openbullet. Credential stuffing is a type of cyberattack in which stolen account credentials, typically consisting of lists of usernames and/or email addresses and the corresponding passwords (often from a data breach), are used to gain unauthorized access to user accounts through large-scale automated login requests directed against a web application.
