
Explore practical attack simulations in Critical National Infrastructure, focusing on risk reduction, threat modeling, and effective testing strategies for industrial control systems.

Novel runtime technique for identifying malicious Android apps through instrumentation, addressing frustrations with static analysis and offering practical demonstrations and insights.

Explore side channel attacks on low-cost hardware, covering power analysis, encryption vulnerabilities, and practical demonstrations. Learn acquisition techniques and countermeasures.

Discover how to revolutionize your AppSec program through effective communication, prioritization, and innovative strategies for securing software development.

Comprehensive methodology for engineering effective threat detections, covering structure, processes, and technologies for a successful detection program.

Explore integrating security testing into product testing strategies, enhancing coverage and aligning security with software requirements for more effective quality assurance in the SDLC.

Explores hardware vulnerabilities in deep learning systems, demonstrating how fault injection and side-channel attacks can compromise model accuracy and steal proprietary information, highlighting the need for robust ML-level defenses.

Practical guide to implementing automated fuzz testing in CI pipelines for embedded software, using Zephyr RTOS as an example. Learn strategies, execution, and vulnerability detection.

Explores Windows named pipes as potential security vulnerabilities, covering enumeration, scanning, sniffing, fuzzing, and exploitation techniques, with insights on mitigation and defense strategies.

Explore Agnitio, a comprehensive tool for secure code review, offering checklists, guidance modules, and automated analysis to enhance software development security practices.

Explores automated bug detection and security exploit generation using symbolic execution and SMT solvers, showcasing their application in Web security analysis and potential for broader automation.

Exploring software engineering techniques to improve technology legislation, focusing on component-based architecture and modeling to create more effective and consistent laws.

Explore how to leverage exposed APIs and plugin interfaces in software tools to enhance functionality, streamline workflows, and create custom solutions for improved efficiency and effectiveness.

Explore strategies for integrating security into DevOps pipelines, focusing on attack surface monitoring, automated testing, and merging static and dynamic results.

Explore serverless computing's impact on security, covering key areas like software supply chain and attack detection. Learn practical approaches and see a demo of building and securing a serverless application.

Explore web application reverse engineering techniques, from information gathering to active testing, to understand behavior, analyze code, and improve security assessments.

Explore static analysis tools for Ruby on Rails, focusing on Brakeman and Jenkins integration. Learn about security warnings, code updates, and best practices for detecting defects.

Learn to use ZAP, an open-source web application security scanner. Explore features like active scanning, fuzzing, and brute force attacks to enhance your penetration testing skills.

Explore cloud-native app testing with the A's, B's, and Four C's framework, covering threat modeling, API testing, and security management for modern software development.

Explore a novel approach to automated malware analysis for file uploads in web apps, focusing on scalability, performance, and effective detection of malicious content.

Explore the challenges of security testing automation and its impact on identity, privacy, and overall system protection in modern software development.