
Explore privilege escalation in JavaScript engines, focusing on offensive techniques and defensive strategies. Learn about vulnerabilities, attack surfaces, and security model improvements.

Automated platform for macOS malware analysis, featuring kernel-level behavioral monitoring and extending Cuckoo sandbox capabilities. Supports various sample types and detects evasion techniques.

Explore Android app vulnerabilities, static analysis techniques, and automated exploitation methods for intent message flaws. Learn to identify and mitigate security risks in mobile app development.

Explore Android kernel driver fuzzing with DIFUZE, a tool for identifying vulnerabilities in third-party driver code. Learn techniques to improve Android security infrastructure and discover potential weaknesses.

Explore advanced code deobfuscation techniques combining dynamic, static, and symbolic approaches to enhance software analysis and reverse engineering capabilities.

Explore techniques for detecting vulnerabilities in Android kernel drivers using static analysis and fuzzing, with focus on DR.CHECKER and DIFUZE tools.

Explore advanced techniques for vulnerability detection in binary targets using knowledge graphs, static analysis, and specialized tools like Binary Ninja and Kraken.

Learn Android app penetration testing essentials, including tools, methodologies, and practical techniques for identifying vulnerabilities and securing mobile applications.

Explore C++ static analysis, focusing on type system representation in PVS-Studio. Learn about current implementation, challenges, and upcoming improvements in encoding and handling complex types.

Explore techniques for analyzing malicious Office documents, from initial triage to static analysis. Learn precautions, tools, and strategies for effective malware investigation.

Explore Google's Titan M chip: its architecture, security features, and potential vulnerabilities through reverse engineering and dynamic analysis techniques.

Explore critical vulnerabilities in embedded TCP/IP stacks, their impact on system security, and techniques for analysis and mitigation in networked embedded systems.

Explore product security strategies, including risk management, automation, and attack surface reduction. Learn how to integrate security into development processes and foster a security-conscious culture within organizations.

Empirical analysis of HTTP-based botnet C&C panels, exploring design, technologies, and characteristics of crimeware control systems used by cybercriminals for managing botnets and other malicious operations.

Exploring security vulnerabilities in DNS implementations due to complexity and ambiguity in RFC 1035, focusing on message compression and its impact on TCP/IP stacks.

Explore techniques for identifying vulnerabilities in embedded firmware, focusing on multi-binary analysis, dynamic and static approaches, and scalable solutions for IoT device security.

Explore kernel sanitizers, XNU syscall API patterns, and code coverage techniques for Apple systems. Live demo of macOS root access using 0-day vulnerabilities discovered through fuzzing.

Explore a novel framework for cross-language taint-flow analysis, enabling detection of critical security vulnerabilities across multiple codebases and programming languages.

Large-scale analysis of firmware images reveals vulnerabilities across embedded systems, highlighting security challenges and the need for improved tools and techniques in firmware analysis.

Explore automated Linux malware analysis with Limon sandbox. Learn to collect, analyze, and report runtime indicators using static, dynamic, and memory analysis techniques for comprehensive threat assessment.

Explore CodeQL's static and taint analysis capabilities to uncover vulnerabilities, including potential RCE flaws. Learn key concepts for effective code analysis and security testing.