Advanced memory forensics equips red teams and pen testers with the skills to detect and analyze sophisticated code injection techniques in Linux, using tools like Volatility and GDB to uncover hidden malicious activities and defend against advanced threats.
Master the art of heap exploitation with this comprehensive guide, diving into advanced techniques, real-world examples, and practical code snippets to elevate your red teaming and pen testing skills.
Dive into dynamic malware analysis techniques, from ProcMon to Wireshark, to unravel malicious code behavior in real-time.
Explore advanced memory forensics for malware detection, analysis techniques, and real-world case studies.
This article explores advanced static malware analysis techniques, including file format analysis, strings analysis, control flow graph reconstruction, disassembly and reverse engineering, signature-based detection, and indicators of compromise, providing practical examples and tool recommendations for professional hackers, pen testers, and red teamers.
This article delves into malware obfuscation, discussing various techniques, tools, and best practices used by red teams and penetration testers, along with real-world examples and code samples, to create evasive and resilient malware that can bypass security measures and remain undetected.
This article provides an in-depth overview of advanced malware analysis techniques, including manual and automated disassembly, decompilers, debuggers, and dynamic binary instrumentation (DBI), with examples of tools and outputs provided for each technique.
This article explores advanced heap spraying techniques used by red teams and pen testers to exploit vulnerabilities in software applications, including non-ASLR and ASLR-based heap spraying, and Unicode heap spraying, with real-world examples and tools.
This article introduces and explains exploit development techniques, best practices, and examples for a technical audience of red teams and pen testers.
This article discusses advanced malware analysis techniques focusing on dynamic analysis and provides real-world examples and code samples for techniques such as memory analysis, network monitoring, and debugging.