SEARCH FINANCIAL SERVICES INFRASTRUCTURE SECURITY SCIENCE INTERVIEWS

 

     

Shape Security Debuts Blackfish

November 7, 2017

Blackfish is a system that can autonomously identify passwords stolen from a data breach before the data breach is reported or even detected. With this technology, organizations worldwide can eliminate the use of stolen usernames and passwords by identifying compromised credentials used to take over accounts, months or even years before the credentials show up for sale on the dark web. Blackfish is built upon the Shape global network, which is the primary line of application defense for the world’s leading companies, including three of the top four banks, three of the top five airlines, two of the top five hotel chains, and two of the top five U.S. government agencies.

Credential stuffing attacks are responsible for more than $10 billion in fraud losses, identify theft, and brand damage every year. Shape’s network data shows that in many industries, such as retail, more than 90% of all login attempts to websites often come from credential stuffing attacks instead of from real users. In these attacks, cybercriminals use advanced automation to test stolen passwords on other websites, simulating real users to take over large groups of accounts en masse.

“One of the greatest dangers companies face today is the long window of time between when breaches occur on third-party websites like Yahoo, and when those breaches are discovered and announced. This puts users everywhere at risk,” said Derek Smith, CEO of Shape Security. “Blackfish changes this entirely. By automatically detecting credential stuffing attacks on the largest, most targeted websites in the world, we are able to quickly identify newly stolen credentials and nullify them globally. That stolen data becomes useless to cybercriminals.”

Shape’s Blackfish technology will enable a unique defense across its customer network, which represents the largest companies in the industries most targeted by cybercriminals. Blackfish machine learning sensors analyze hundreds of signals in login attempts on major websites to automatically identify credentials being used by anyone other than their rightful owners. It then protects all other sites against account takeover attempts which use those credentials.

To ensure that its knowledge base is secured, Blackfish does not store any credential information but instead leverages Bloom filters to create probabilistic data structures to perform its operations. As a result, the compromised credentials themselves are not stored anywhere and Blackfish can use the information about compromises to improve security while maintaining full data privacy.

“In June, the National Institute of Standards and Technology (NIST) issued the recommendation that all companies check their users’ credentials against breached password corpuses,” said Sarah Squire, co-author of the NIST Digital Identity Guidelines (SP 800-63). "Shape is going one step further by enabling companies to cross-reference with a breach corpus that is actively exploited and not dependent on companies self-disclosing breaches in a timely manner.”

“The problem of credential stuffing cannot be fully solved without dealing with the stolen passwords themselves,” said Ted Schlein, General Partner at Kleiner Perkins. “Blackfish is the first technology that can identify compromised credentials before a data breach is discovered and ensure that cybercriminals cannot use them. The Blackfish system is also a strong demonstration of the power of Shape's network data, from protecting the world's largest organizations to providing a new level of defense for companies and their users.”

Terms of Use | Copyright © 2002 - 2017 CONSTITUENTWORKS SM  CORPORATION. All rights reserved. | Privacy Statement