Zhen Huang (Pennsylvania State University), Gang Tan (Pennsylvania State University)

The existence of pre-patch windows allows adversaries to exploit vulnerabilities before they are patched. Prior work has proposed to harden programs with security workarounds to enable users to mitigate vulnerabilities before a patch is available. However, it requires access to the source code of the programs. This paper introduces RVM, an approach to automatically hardening binary code with security workarounds. RVM statically analyzes binary code of programs to identify error-handling code in the programs, in order to synthesize security workarounds. We designed and implemented a prototype of RVM for Windows and Linux binaries. We evaluate the coverage and performance of RVM on binaries of popular Windows and Linux applications containing real-world vulnerabilities.

View More Papers

coucouArray ( [post_type] => ndss-paper [post_status] => publish [posts_per_page] => 4 [orderby] => rand [tax_query] => Array ( [0] => Array ( [taxonomy] => category [field] => id [terms] => Array ( [0] => 37 ) ) ) [post__not_in] => Array ( [0] => 4851 ) )

All things Binary

Dr. Sergey Bratus, DARPA PI and Research Associate Professor at Dartmouth College

Read More

CLIK on PLCs! Attacking Control Logic with Decompilation and...

Sushma Kalle (University of New Orleans), Nehal Ameen (University of New Orleans), Hyunguk Yoo (University of New Orleans), Irfan Ahmed (Virginia Commonwealth University)

Read More

CBAT: A Comparative Binary Analysis Tool

Chloe Fortuna (STR), JT Paasch (STR), Sam Lasser (Draper), Philip Zucker (Draper), Chris Casinghino (Jane Street), Cody Roux (AWS)

Read More

Is Your Firmware Real or Re-Hosted? A case study...

Abraham A. Clements, Logan Carpenter, William A. Moeglein (Sandia National Laboratories), Christopher Wright (Purdue University)

Read More

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)