CyberX enhanced its specialized IoT/ICS threat intelligence capabilities with an automated threat extraction platform that uses machine learning to identify malware and APT campaigns targeting industrial and critical infrastructure organizations.
Ganymede is the new platform that is more scalable than traditional threat intelligence approaches that rely on human analysts and manual techniques. And unlike traditional threat intelligence produced by IT security firms, Ganymede focuses on IoT/ICS/OT-specific threat intelligence for industrial and critical infrastructure organizations. Ganymede also incorporates an IoT/ICS/OT-specific malware analysis sandbox.
Ganymede was designed to reduce the time required to identify, hunt, and eradicate destructive malware that cost industrial organizations tens or hundreds of millions of dollars in lost production and cleanup. Plant safety systems are also being targeted by sophisticated nation-state adversaries across multiple industrial sectors worldwide. Finally, trade secrets, such as proprietary design and manufacturing data, are also being stolen from industrial companies.
Developed by Section 52, CyberX’s threat intelligence and security research team, Ganymede continuously ingests massive amounts of data from a range of open and closed sources to deliver the most robust, data-driven analysis possible.
Machine learning and statistical models are used to assign risk scores to specific entities such as files. The risk scores are calculated by machine learning trained on datasets consisting of hundreds of thousands of known good and bad samples. Section 52 threat analysts are used in the final phase to review and correlate the results based on their extensive field experience.
Additionally, suspicious executables are detonated in CyberX’s IoT/ICS Malware Sandbox. Unique in the industry because of its focus on IoT/ICS-focused malware, the CyberX sandbox is a virtualized IoT/ICS environment that analyzes malware activity — using machine learning combined with static and dynamic analysis capabilities — to detect malware access to IoT/ICS-specific objects (processes, libraries, DLLs, ports, etc.). The sandbox then generates a collection of IoCs and representative screenshots of the malware in operation.
Actionable threat intelligence is delivered in several forms, including:
• Threat intelligence updates to CyberX’s network monitoring platform. These automated updates enrich the industrial cybersecurity platform’s built-in, patented IoT/ICS-aware behavioral analytics with the latest threat information.
• IoCs provided with SNORT and Yara rules for enriching clients’ other security tools — such as SIEM and IDS solutions — with Section 52’s threat intelligence data.
• Threat intelligence reports, alerts, and TTPs for CyberX clients, along with expert recommendations and implementation services from the CyberX customer success team to assist clients with threat mitigation.