James Fitts, Chris Fennel (Walmart)

Red Team campaigns simulate real adversaries and provide real value to the organization by exposing vulnerable infrastructure and processes that need to be improved. The challenge is that as organizations scale in size, time between campaign retesting increases. This can lead to gaps in ensuring coverage and finding emerging issues. Automation and simulation of adversarial attacks can be created to address the scale problem. Collecting libraries of Tactics, Techniques and Procedures (TTPs) and testing them via adversarial emulation software. Unfortunately, automation lacks feedback and cannot analyze the data in real time with each test.

To address this problem, we introduce RAMPART (Repeated And Measured Post Access Red Teaming). RAMPART campaigns are very quick campaigns (1 day) meant to bridge the gap between the automation of Red Team simulations and full blown Red Team campaigns. The speed of these campaigns comes from pre-built playbooks backed by Cyber Threat Intelligence (CTI) research. This approach enables a level of freedom to make decisions based on the data the red team analyst sees from their tooling and allows testing further in the attack chain to test detections that could be missed otherwise.

View More Papers

ActiveDaemon: Unconscious DNN Dormancy and Waking Up via User-specific...

Ge Ren (Shanghai Jiao Tong University), Gaolei Li (Shanghai Jiao Tong University), Shenghong Li (Shanghai Jiao Tong University), Libo Chen (Shanghai Jiao Tong University), Kui Ren (Zhejiang University)

Read More

EM Eye: Characterizing Electromagnetic Side-channel Eavesdropping on Embedded Cameras

Yan Long (University of Michigan), Qinhong Jiang (Zhejiang University), Chen Yan (Zhejiang University), Tobias Alam (University of Michigan), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University), Kevin Fu (Northeastern University)

Read More

WIP: An Adaptive High Frequency Removal Attack to Bypass...

Yuki Hayakawa (Keio University), Takami Sato (University of California, Irvine), Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata (Keio University), Qi Alfred Chen (University of California, Irvine), Kentaro Yoshioka (Keio University)

Read More

Security-Performance Tradeoff in DAG-based Proof-of-Work Blockchain Protocols

Shichen Wu (1. School of Cyber Science and Technology, Shandong University 2. Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education), Puwen Wei (1. School of Cyber Science and Technology, Shandong University 2. Quancheng Laboratory 3. Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education), Ren Zhang (Cryptape Co. Ltd. and…

Read More