Credential-related threats and attacks are among attackers' most widely used vectors. Credential stuffing is one technique: stolen or otherwise compromised account credentials—typically in a database or list format—are used to gain unauthorized access to resources using highly scalable automation processes.
Credential stuffing is a type of cyberattack where stolen account credentials typically consist of lists of usernames and email addresses. 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. Unlike credential cracking, credential stuffing attacks do not attempt to 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 like Selenium, cURL, PhantomJS or tools designed specifically for these types of attacks such as Sentry MBA, SNIPR, STORM, Blackbullet, and Openbullet. Credential 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 password across a majority of their accounts
Over 80% of breaches within hacking involve brute force or the use of lost or stolen credentials.
—Verizon 2020 Data Breach Investigations Report
43% of all logins seen by Akamai were attempts to log in to an account using password guessing or account details gathered from elsewhere on the Internet.
—Akamai State of the Internet Q4 2017
Between January 1, 2018, and December 31, 2019, Akamai recorded more than 88 billion credential stuffing attacks across all industries. When we look specifically at the media sector, which includes streaming media, television networks, cable networks, broadcasting, and even digital publishing and advertising, that number is about 17 billion, or about 20% of all attacks.
Scirge gives organizations the tools to discover and manage Shadow IT by tracking where and how corporate credentials are used across SaaS, supply-chain, GenAI, and other web applications. It helps discover Shadow SaaS and Shadow AI, and identify risks like password reuse, shared accounts, and phishing, while providing real-time awareness messages, automated workflows, and actionable insights.