In-Context Autonomous Network Incident Response: An End-To-End Large Language Model Agent Approach

Rapidly evolving cyberattacks demand incident response systems that can autonomously learn and adapt to changing threats. Prior work has extensively explored the reinforcement learning approach, which involves learning response strategies through extensive simulation of the incident. While this...

A Comprehensive Survey of Website Fingerprinting Attacks and Defenses in Tor: Advances and Open Challenges

The Tor network provides users with strong anonymity by routing their internet traffic through multiple relays. While Tor encrypts traffic and hides IP addresses, it remains vulnerable to traffic analysis attacks such as the website fingerprinting WF attack, achieving increasingly high...

Exploiting Context-Dependent Duration Features for Voice Anonymization Attack Systems

The temporal dynamics of speech, encompassing variations in rhythm, intonation, and speaking rate, contain important and unique information about speaker identity. This paper proposes a new method for representing speaker characteristics by extracting context-dependent duration embeddings from...

CVE-2025-5440

CVE-2025-5440 affects Linksys RE6500/RE6250/RE6300/RE6350/RE7000/RE9000 (firmware variants 1.0.013.001–1.2.07.001). The NTP endpoint at /goform/NTP accepts parameters manual_year_select/manual_month_select/manual_day_select/manual_hour_select/manual_min_select/manual_sec_select that enable OS com...

How a Principal Engineer Made His Journey to Cloud Security With Rapid7

The first programming language I learned in my childhood was Pascal. I was 12 years old at the time, and I quickly developed a passion for technology. From a young age, I always knew I wanted to learn engineering and computer science. I wanted to solve big design and architecture problems while...