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We anticipate that 2021 will have many more announcements and unwelcome discoveries surrounding credential spills. However, it was also an opportunity for attackers to achieve persistence in the environments of thousands of organizations.
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Based on what we presently know, these campaigns were state-sponsored attacks against public and private institutions of strategic importance to the United States. The tech industry is reeling from the twin shocks of the theft of FireEye’s red team tools and the SolarWinds Orion supply chain attack. Data labeling “microwork” using humans to help bypass antibot defensesįigure 35.
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Compiling and protecting developer software is a few clicks in BASįigure 34. Simplicity of avoiding common forks like multifactor authentication in BASįigure 33. Simplicity of creating automation tasks in BASįigure 32. Browser Automation Studio graphical user interfaceįigure 31.
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Human versus bot mouse movementsįigure 30. Google trends graph showing interest in PhantomJS versus Puppeteer between 20. Sentry MBA, a standard user-simulation toolįigure 28. The method of credential stuffing depends on an attacker’s skill levelįigure 27. Sophisticated attackers won’t give up if they aren’t successful with the exact credentials from a spillįigure 26. “Fuzzing” attack on a banking user account. Repeated attacks on a user account peaked on Christmas Eveįigure 25. Five different attackers trying to use the same set of credentials within three hoursįigure 24. Repackaging in hopes of a continued lifecycle of compromised credentialsįigure 23. Credentials no longer have premium valueįigure 22. Script kiddies and other amateurs race to use credentials after the public announcementįigure 21. Attackers ramp up use of compromised credentials 30 days before the public announcementįigure 20. Attackers use credentials in stealth mode from 150 to 30 days before the public announcementįigure 19. Where humans are using compromised credentials. Consumer or criminal? In Collection X, one out of three logins to customer sites over 12 months had been compromisedįigure 17. Time to discover spill histogram (bin width = 120 days, n = 96)įigure 16. Databases for sale, credit bleeping computerįigure 15.
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Number of spilled credentials by password hashing algorithm, 2018-2020 (unknowns removed)įigure 14. Proportion of spill incidents by password hashing algorithm, 2018-2020 (unknowns removed, n = 90)įigure 13. Number of spilled credentials by password hashing algorithm, 2018-2020įigure 12. Proportion of spill incidents by password hashing algorithm, 2018-2020 (n = 296)įigure 11. Rate of credentials spilled over the calendar year, 2016-2020įigure 10. Rate of credential spill incidents over the calendar year, 2016-2020įigure 9. Credential spill size distribution by year, 2016-2020 (outliers removed)įigure 8. Credential spill size distribution, 2016-2020įigure 5. Number of credentials spilled by year, 2016-2020įigure 4. Number of credential spill incidents by year, 2016-2020įigure 3. Summary of credential spills from 2016 through 2020įigure 2. Attacker Behavior with Compromised CredentialsĬonclusion: Minimizing the Threat of Credential Stuffingįigure 1.