Expanding Automated Threat Hunting and Response with Open DXL
Today everyone is talking about security automation. However, what are the right processes and actions to automate safely? What are the right processes and actions to automate that will actually achieve some security outcome, such as improving sec ops efficiency or reducing attacker dwell time? Just look in the latest industry report and you will find a statistic about how long attackers linger in a network without detection. It’s getting better, but the average is still heavily in favor of the attacker.
One of the reasons why attackers are so successful at maintaining persistence is that most organizations struggle to make effective use of threat intelligence. Making effective use means taking the volumes of threat intelligence data, primarily technical Indicators of Compromise (IOCs), hunting for affected systems with those IOCs, and then adapting countermeasures to contain the incident or just update protection. These critical tasks, collecting and validating intelligence, performing triage, and adapting cyber defenses to contain incident must be automated if we ever want to get ahead of the attackers.
McAfee’s Intelligent Security Operations solution automates many key threat hunting tasks. In this solution, McAfee Advanced Threat Defense (ATD), a malware analytic system, produces the local IOCs based on malware submissions from the endpoint and network sensors. It automatically shares the new intelligence with McAfee Enterprise Security Manager (ESM) for automated historical analysis, with the McAfee Active Response component of McAfee Endpoint Threat Defense and Response (ETDR) for real time endpoint analysis, and with McAfee Threat Intelligence Exchange (TIE) for automated containment at the endpoint or network.
However, wouldn’t it be great if we could automate hunting and incident containment for all threat intelligence, not just file hashes? We can expand the capability of the Intelligent Security Operations solution to handle more intelligence and automate more incident response tasks using the power of OpenDXL.
Consolidate Threat Intelligence Collection with OpenDXL and MISP
Organizations need threat intelligence from three different sources:
- Global intelligence from vendors or large providers
- Community Intelligence from closed sources, and
- Enterprise, or Local-Produced
Local threat intelligence, typically produced by malware sandboxes, such as McAfee Advanced Threat Defense (ATD), or learned from previous incident investigations, usually relates to attacks targeted at the enterprise and would not be visible through other external intelligence feeds. Large organizations typically consolidate these feeds inside a threat intelligence platform to simplify the management, sharing and processing of the data.
Using OpenDXL, we can more simply push locally-produced intelligence from ATD into threat intelligence platforms, such as Malware Information Sharing Platform (MISP), an open source intelligence sharing platform. Inside MISP, ATD data can be labeled and combined with other sources providing a central repository to operationalize threat intelligence. Using OpenDXL, MISP can then push all threat intelligence-based IOCs to ESM and Active Response for further triage and out to firewalls, proxies, endpoints and other cyber defense tools for automated containment.
Full IOC Hunting with ESM, Active Response and OpenDXL
One of the best ways to reduce attacker dwell time is to use threat intelligence to hunt for compromised systems in the enterprise with ESM and Active Response. With threat intelligence centrally collected in MISP, we can automate historical analysis using the existing back trace feature in ESM. Using OpenDXL integration with MISP, we can also hunt on all the IOCs and send the results back to ESM or Kibana. This expands the capability of the original solution fully automating the hunting process with both historical and real time searches for all IOCs, not just local intelligence.
Automated Incident Containment with OpenDXL
If a system is found to be comprised, the next task is to contain and update defenses as fast as possible. When it comes to updating cyber defense countermeasures, such as firewalls or web proxy, internal procedures or business silos can slow response. For example, sending a ticket to the firewall team or service provider to block a command-and-control IP address or domain could take hours even in mature organizations. These silos slow down incident response and increase attackers’ dwell time.
With OpenDXL integration with MISP, we can reduce dwell time by pushing all indicators, not just file hashes, out to network and endpoint countermeasures. With OpenDXL integration with MISP, indicators such as command-and-control IP addresses, malicious URLs or domains, and file hashes can be automatically shared with the McAfee Dynamic Endpoint, Network Firewalls such as Force Point or Checkpoint, or Web Proxies such as McAfee Web Gateway. With OpenDXL integration with MISP, we can automate indicator-sharing with any countermeasures on the network or endpoint, to reduce dwell time and better protect your business.
For more information on automated threat hunting with OpenDXL and to get connected with the community of OpenDXL users, I’d encourage you to check out the McAfee DXL architecture guide and the data sheet.
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