WEBRR: A Forensic System for Replaying and Investigating Web-Based Attacks in The Modern Web

Authors: 

Joey Allen, Palo Alto Networks; Zheng Yang, Feng Xiao, and Matthew Landen, Georgia Institute of Technology; Roberto Perdisci, Georgia Institute of Technology and University of Georgia; Wenke Lee, Georgia Institute of Technology

Abstract: 

After a sophisticated attack or data breach occurs at an organization, a postmortem forensic analysis must be conducted to reconstruct and understand the root causes of the attack. Unfortunately, the majority of proposed forensic analysis systems rely on system-level auditing, making it difficult to reconstruct and investigate web-based attacks, due to the semantic-gap between system- and web-level semantics. This limited visibility into web-based attacks has recently become increasingly concerning because web-based attacks are commonly employed by nation-state adversaries to penetrate and achieve the initial compromise of an enterprise network. To enable forensic analysts to replay and investigate web-based attacks, we propose WebRR, a novel OS- and device- independent record and replay (RR) forensic auditing system for Chromium-based web browsers. While there exist prior works that focus on web-based auditing, current systems are either record-only or suffer from critical limitations that prevent them from deterministically replaying attacks. WebRR addresses these limitation by introducing a novel design that allows it to record and deterministically replay modern web applications by leveraging JavaScript Execution Unit Partitioning.

Our evaluation demonstrates that WebRR is capable of replaying web-based attacks that fail to replay on prior state-of-the-art systems. Furthermore, we demonstrate that WebRR can replay highly-dynamic modern websites in a deterministic fashion with an average runtime overhead of only 3.44%

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.