In collaboration with Center Participants, the Center for Threat-Informed Defense (Center) is building a library of adversary emulation plans to allow organizations to evaluate their defensive capabilities against the real-world threats they face. Emulation plans are an essential component in testing current defenses for organizations that are looking to prioritize their defenses around actual adversary behavior. Focusing our energies on developing a set of common emulation plans that are available to all means that organizations can use their limited time and resources to focus on understanding how their defenses actually fare against real-world threats.
Also see our recent blog on the Adversary Emulation Library.
These adversary emulation plans are based on known-adversary behaviors and designed to empower red teams to manually emulate a specific threat actor in order to test and evaluate defensive capabilities from a threat-informed perspective. This approach empowers defenders to operationalize cyber threat intelligence to better understand and combat real-world adversaries. Rather than focusing on static signatures, these intelligence-driven emulation plans provide a repeatable means to test and tune defensive capabilities and products against the evolving Tactics, Techniques, and Procedures (TTPs) of threat actors and malware.
Adversary emulation enables organizations to view their security through the eyes of a cyber adversary with the goal of improving defenses across the adversary’s lifecycle. As defenders this expands our attention and focus beyond just the final actions of the adversary achieving their operational objective to rather understand and appreciate every distinct behavior (that could have been detected and/or mitigated) leading up to that point.
Each emulation plan is rooted in intelligence reports and other artifacts that capture and describe breaches and campaigns publicly attributed to a specific named threat actor. To develop each plan, we research and model each threat actor, focusing not only on what they do (ex: gather credentials from victims) but also how (using what specific tools/utilities/commands?) and when (during what stage of a breach?). We then develop emulation content that mimics the underlying behaviors utilized by the threat actor (i.e. not an exact representation, rather capturing the pertinent elements that accurately generate appropriate test telemetry for defenders). This approach results in nuanced emulation plans, each capturing unique scenarios and perspectives that we can leverage as threat-informed defenders.
As is the case with traditional red teaming and penetration testing, adversary emulation is a specific style of offensive assessment performed to help us test and tune our defenses. In this case, our objective is to operationalize cyber threat intelligence describing behaviors observed in specific campaigns or malware samples. From this intelligence, we select and execute a subset of behaviors (and their variations) to assess our defenses from the perspective of the specific threat.
As described in the next section, each emulation plan captures specific threat scenarios. These scenarios can be executed end-to-end, or individual behaviors can be tested. Organizations can also choose to further customize the scenarios and/or behaviors within each emulation plan to better fit their specific environment, priorities, or to be shaped by additional intelligence.
In summary, each emulation plan should be perceived as input to an offensive assessment/red team. The content can be used as strict instructions to follow, or as just a starting point to be built upon and personalized.
Each emulation plan focuses on a specific named threat actor. The README of each individual plan provides a curated summary of available cyber threat intelligence, composed of an intelligence overview of the actor (describing who they target, how, and why where possible) as well as the scope of their activity (i.e. breadth of techniques and malware used). All presented information is cited back to relevant publicly available cyber threat intelligence and communicated and annotated via ATT&CK.
Within each emulation plan, the operational flow provides a high-level summary of the captured scenario(s). These scenarios will vary based on the adversary and available intelligence, but typically follow a sequential progression of how the actor breaches then works towards achieving their operational objectives within a victim environment (espionage, data/system destruction, etc.).
The content to execute the scenario(s) is broken down into step-by-step procedures provided in both human and machine-readable formats. Scenarios can be executed end-to-end or as individual tests. The human-readable formats provide additional relevant background where possible as well as any setup prerequisites, while the machine-readable format is designed to be programmatically parsed (ex: read, reformatted, and ingested into an automated agent, such as CALDERA and/or breach simulation frameworks). Please see the emulation plan format dictionary for a more detailed breakdown of the fields of the machine-readable format.
The threat landscape changes every day, as new groups/malware emerge and known adversaries adapt and evolve. The Center will continue to populate and maintain this library to match this growth curve through dedicated research efforts that aim to either create or update plans based on a specific adversary.
Please submit issues for any technical questions/concerns or contact [email protected] directly for more general inquiries.
Also see the guidance for contributors if are interested in contributing.
This content is only to be used with appropriate prior, explicit authorization for the purposes of assessing security posture and/or research.
Copyright 2020 MITRE Engenuity. Approved for public release. Document number CT0005
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
This project makes use of ATT&CK®