Discovery or Memorization? A Faithful Benchmark for Real-World Business-Logic Vulnerability Discovery

The rapid advancement of cybersecurity agents in vulnerability discovery has increased the need for benchmarks that evaluate their capabilities accurately. However, synthetic benchmarks lack realism, real-life benchmarks are prone to contamination, and many existing benchmarks have already been...

AI Forensics across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems

AI systems are increasingly involved in decisions and actions that may later require investigation. When an AI related incident occurs, investigators need to reconstruct what the system did, why it behaved that way, and which part of the system or supply chain contributed to the outcome. Existing...

Systems-and-Cyber-Security-Coursework

CSI6SCS2526 — Systems and Cyber Security Coursework Gr...

Proteus: A Self-Evolving Red Team for Agent Skill Ecosystems

Agent skills extend LLM agents with reusable instructions, tool interfaces, and executable code, and users increasingly install third-party skills from marketplaces, repositories, and community channels. Because a skill exposes both executable behavior and context-setting documentation, its...

AXE: An Agentic EXploit Engine for Confirming Zero-Day Vulnerability Reports

Vulnerability detection tools are widely adopted in software projects, yet they often overwhelm maintainers with false positives and non-actionable reports. Automated exploitation systems can help validate these reports; however, existing approaches typically operate in isolation from detection...

WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing

Many business processes currently depend on web services, often using REST APIs for communication. REST APIs expose web service functionality through endpoints, allowing easy client interaction over the Internet. To reduce the security risk resulting from exposed endpoints, thorough testing is...

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization

Test-time personalization in federated learning enables models at clients to adjust online to local domain shifts, enhancing robustness and personalization in deployment. Yet, existing federated learning work largely overlooks the security risks that arise when local adaptation occurs at test tim...

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation

The security of modern vehicles has become increasingly important, with the controller area network CAN bus serving as a critical communication backbone for various Electronic Control Units ECUs. The absence of robust security measures in CAN, coupled with the increasing connectivity of vehicles,...

January 28, 2020—KB4532695 (OS Builds 18362.628 and 18363.628)

January 28, 2020—KB4532695 OS Builds 18362.628 and 18363.628 Applies To Windows 10, version 1903, all editions Windows Server version 1903 Windows 10, version 1909, all editions Windows Server version 1909 Note What's new for Windows 10, version 1909 and Windows 10, version 1903 release notes...

PT-2024-12146 · Corax · Corax

Name of the Vulnerable Software and Affected Versions: Corax affected versions not specified Description: The issue concerns Corax, an extensible edge-coverage-guided grey-box fuzzing framework written in PHP. It is designed to automatically detect and report vulnerabilities for PHP applications,...

Application Security Testing — The Wallarm Approach

Testing the security of the corporate applications is a part of every-day life for Ops and DevOps professionals. Larger companies have whole teams dedicated to independent security testing, called Red Teams. These folks use various tools at their disposal to discover the flaws in both application...