Amit Klein (Bar Ilan University)

We analyzed the generation of protocol header fields in the implementations of multiple TCP/IP network stacks and found new ways to leak information about global protocol states. We then demonstrated new covert channels by remotely observing and modifying the system's global state via these protocol fields. Unlike earlier works, our research focuses on hosts that reside in firewalled networks (including source address validation – SAV), which is a very common scenario nowadays. Our attacks are designed to be non-disruptive – in the exfiltration scenario, this makes the attacks stealthier and thus extends their longevity, and in case of host alias resolution and similar techniques – this ensures the techniques are ethical. We focused on ICMP, which is commonly served by firewalls, and on UDP, which is forecasted to take a more prominent share of the Internet traffic with the advent of HTTP/3 and QUIC, though we report results for TCP as well.

The information leakage scenarios we discovered enable the construction of practical covert channels which directly pierce firewalls, or indirectly establish communication via hosts in firewalled networks that also employ SAV. We describe and test
three novel attacks in this context: exfiltration via the firewall itself, exfiltration via a DMZ host, and exfiltration via co-resident
containers. These are three generic, new use cases for covert channels that work around firewalling and enable devices that
are not allowed direct communication with the Internet, to still exfiltrate data out of the network. In other words, we exfiltrate
data from isolated networks to the Internet. We also explain how to mount known attacks such as host alias resolution, de-NATting
and container co-residence detection, using the new information leakage techniques.

View More Papers

Demo #6: Attacks on CAN Error Handling Mechanism

Khaled Serag (Purdue University), Vireshwar Kumar (IIT Delhi), Z. Berkay Celik (Purdue University), Rohit Bhatia (Purdue University), Mathias Payer (EPFL) and Dongyan Xu (Purdue University)

Read More

Context-Sensitive and Directional Concurrency Fuzzing for Data-Race Detection

Zu-Ming Jiang (Tsinghua University), Jia-Ju Bai (Tsinghua University), Kangjie Lu (University of Minnesota), Shi-Min Hu (Tsinghua University)

Read More

DRAWN APART: A Device Identification Technique based on Remote...

Tomer Laor (Ben-Gurion Univ. of the Negev), Naif Mehanna (Univ. Lille, CNRS, Inria), Antonin Durey (Univ. Lille, CNRS, Inria), Vitaly Dyadyuk (Ben-Gurion Univ. of the Negev), Pierre Laperdrix (Univ. Lille, CNRS, Inria), Clémentine Maurice (Univ. Lille, CNRS, Inria), Yossi Oren (Ben-Gurion Univ. of the Negev), Romain Rouvoy (Univ. Lille, CNRS, Inria / IUF), Walter Rudametkin…

Read More

Demo #3: I Am Not Afraid of the GPS...

Ali A. Abdallah (UC Irvine), Zaher M. Kassas (UC Irvine) and Chiawei Lee (US Air Force Test Pilot School)

Read More