By using practices like those outlined above, we have been able to continue building what is likely the most comprehensive and detailed library of targeted intrusion data from the wild that is mapped to ATT&CK. As such, the presentation will also share significant trends and techniques from the intrusions we’ve analyzed over the past year.
This talk will introduce {attckr}: an R package and application that provides programmatic, command-line, and interactive tools to analyze and visualize incident ATT&CK metrics. Attendees will see real-life (i.e. using real, anonymized incident data) examples of how to look across an ATT&CK incident corpus to identify trends (or outliers), support the development of ATT&CK incident baseline metrics, and develop reports and visualizations to assist in communicating operational performance, threat event frequency & type distributions for risk analysis, and identification of strengths and weaknesses in detection capability.
The Credibility Coalition is an interdisciplinary community committed to addressing the proliferation and amplification of misinformation online, through transparent and collaborative research. Its MisinfoSec working group develops information security-based standards to promote a more formal and rigorous treatment of 1) detecting misinformation-based attacks and 2) devising methods to protect against misinformation-based attacks. Specifically, we have adapted and extended frameworks used to describe information security incidents, for use in ISACs, ISAOs and other groups sharing misinformation threats and responses.
In this talk, we discuss misinformation and why stage-based frameworks like ATT&CK are appropriate for it. We describe the AMITT (Adversarial Misinformation and Influence Tactics and Techniques) misinformation response framework and its roots in and deliberate compatibility with ATT&CK, its creation, relationships with other models, its components (including ways, means, and ends to achieve influence goals) and potential uses.
This presentation will discuss ATT&CK techniques found in 950+ unique Windows malware families as part of an academic research project. With the malware harvested from an unbiased and reputable source, a representative view on 15 years of evolution in the malware field is ensured. For each ATT&CK tactic, the talk provides insight into trends and shifts in real-world adversary behavior. It will also highlight how a malware analysis automation pipeline can introduce biases into your CTI and based on that, best practices on how ATT&CK can be used to ensure CTI accuracy. This entertaining presentation provides practical takeaways that inform and help prioritize your threat defense.
We’ll begin our presentation by introducing exactly how and why we started using ATT&CK, providing examples of mappings in our research publications, as well as the role it plays in enhancing our EDR solutions. We’ll also describe our experience with contributing to the ATT&CK knowledge base.
The main part of the talk will be example-driven. Having played a key role in analyzing some of the most significant cyberattacks in history, we’ll go over the most interesting tactics, techniques, and procedures (TTPs) of the adversaries, mapping them to ATT&CK.
Specifically, we’ll analyze the TTPs of Sednit (a.k.a. APT28), the group reportedly responsible for the Democratic National Committee hack that affected the US 2016 elections, and Telebots (a.k.a. Sandworm), the group behind the first malware-driven electricity blackouts (BlackEnergy and Industroyer) and, the most damaging cyberattack ever (NotPetya).
Finally, we’ll conclude with our analysis of the current threat landscape and trends, and highlight how we anticipate it will shape ATT&CK going forward.
Priceline then did the heavy lift of ingesting that data, prioritizing shortcomings, and making strategic and tactical decisions to improve their security program. Through the use of ATT&CK, they were able to trace specific lines of effort back to various TTPs. This traceability helped provide support for various decisions as well as facilitated with prioritization. ATT&CK also provided a common taxonomy when working with vendors when gaps in detection were identified. Finally, ATT&CK helped Priceline track improvements through later rounds of testing to help measure the effectiveness of various improvements.