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20182020
most citedHotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing

15 citations · 19 across the 2 of their papers we have counts for

collaborators

10 papers

cs.CR2020

DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis

Alejandro Mera, Bo Feng, Long Lu +1

Microcontroller-based embedded devices are at the core of Internet-of-Things and Cyber-Physical Systems. The security of these devices is of paramount importance. Among the approac…

cs.CR2020

Bypassing memory safety mechanisms through speculative control flow hijacks

Andrea Mambretti, Alexandra Sandulescu, Alessandro Sorniotti +3

The prevalence of memory corruption bugs in the past decades resulted in numerous defenses, such as stack canaries, control flow integrity (CFI), and memory safe languages. These d…

cs.CR202015 cited

HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing

William Blair, Andrea Mambretti, Sajjad Arshad +4

Contemporary fuzz testing techniques focus on identifying memory corruption vulnerabilities that allow adversaries to achieve either remote code execution or information disclosure…

cs.CR20194 cited

Cached and Confused: Web Cache Deception in the Wild

Seyed Ali Mirheidari, Sajjad Arshad, Kaan Onarlioglu +3

Web cache deception (WCD) is an attack proposed in 2017, where an attacker tricks a caching proxy into erroneously storing private information transmitted over the Internet and sub…

cs.CR2018

Include Me Out: In-Browser Detection of Malicious Third-Party Content Inclusions

Sajjad Arshad, Amin Kharraz, William Robertson

Modern websites include various types of third-party content such as JavaScript, images, stylesheets, and Flash objects in order to create interactive user interfaces. In addition…

cs.CR2018

Tracing Information Flows Between Ad Exchanges Using Retargeted Ads

Muhammad Ahmad Bashir, Sajjad Arshad, William Robertson +1

Numerous surveys have shown that Web users are concerned about the loss of privacy associated with online tracking. Alarmingly, these surveys also reveal that people are also unawa…