MITRE ATT&CK emulates well-known threat groups inspired by publicly available threat intelligence. The evaluations do not rank vendors and their solutions; however, organizations should use them to determine which solutions best address their cybersecurity gaps, complement their existing protection implementation (network security product, existing endpoint protection solutions, etc.), and fit their business needs. The evaluation comprises two tests: Detection and prevention evaluation.
We couldn’t be prouder that CrowdStrike achieved the highest coverage across the last two consecutive MITRE Engenuity ATT&CK® Evaluations. We achieved 100% protection, 100% visibility and 100% analytic detection coverage in the Enterprise Round 5 evaluation — which equates to 100% prevention and stopping the breach. We also achieved the highest detection coverage in the Managed Security Services Providers testing.
In this blog post, we will take a comprehensive dive into a real-world cyber attack that reverberated across the digital realm – SCARLETEEL. Through an in-depth analysis of this notorious incident using the MITRE ATT&CK framework, we aim to unearth invaluable insights into the operational tactics of cyber adversaries.
In 2013, MITRE created the ATT&CK framework to give security practitioners a shared language for the tactics, techniques, and procedures (TTPs) employed by advanced persistent threat (APT) groups. The result is a knowledge source that provides valuable threat information, allowing teams to take a proactive approach in identifying and mitigating potential cybersecurity threats. Though the framework is widely used, most organizations struggle to effectively utilize it.
The MITRE ATT&CK framework provides the cybersecurity industry with a common language for describing adversary behaviors, making it invaluable for organizations building or operating cyber defenses, as well as advancing research across the threat landscape.
MITRE ATT&CK® is a globally accessible knowledge base of 14 adversary tactics and over 500 techniques based on real-world observations. The first model was proposed in 2013 and publicly released in 2015 which has been gathering momentum over the last couple of years.