3 papers
cs.CR2026
Measuring and Evaluating the Performance of Generative AI Models for Scam Detection
Cem Topcuoglu, Seyed Ali Akhavani, Harel Berger +5
Online scams continue to cause substantial financial and personal harm. As a result, detection systems based on Large Language Models (LLMs) have been integrated into security prod…
cs.CR2026
WAFFLED: Exploiting Parsing Discrepancies to Bypass Web Application Firewalls
Seyed Ali Akhavani, Bahruz Jabiyev, Ben Kallus +3
Web Application Firewalls (WAFs) have been introduced as essential and popular security gates that inspect incoming HTTP traffic to filter out malicious requests and provide defens…
cs.CR2025
HTTP Request Synchronization Defeats Discrepancy Attacks
Cem Topcuoglu, Kaan Onarlioglu, Steven Sprecher +1
Contemporary web application architectures involve many layers of proxy services that process traffic. Due to the complexity of HTTP and vendor design decisions, these proxies some…