MCSI Certified DFIR Specialist
https://www.mosse-institute.com/certifications/mdfir-certified-dfir-specialist.html
MCSI Digital Forensics Library
https://library.mosse-institute.com/cyber-domains/digital-forensics.html
️ Reverse Engineering Portable Executables (PE) - Part 1 ️
https://library.mosse-institute.com/articles/2022/05/reverse-engineering-portable-executables-pe-part-1/reverse-engineering-portable-executables-pe-part-1.html
️ Reverse Engineering Portable Executables (PE) - Part 2 ️
https://library.mosse-institute.com/articles/2022/05/reverse-engineering-portable-executables-pe-part-2/reverse-engineering-portable-executables-pe-part-2.html
DLL's can be malicious because they can be used to execute code without the user's knowledge or consent. They can also be used to overwrite existing files, which can lead to data loss or corruption. Additionally, DLL's can be used to load and execute unapproved programs, which can pose a security risk.
Reverse engineering is the process of analyzing a piece of software or hardware in order to understand how it works. This can be done in order to find vulnerabilities, create new functionality, or simply to learn how the system works. In digital forensics, reverse engineering can be used to analyze malware in order to understand its purpose and how it works. This information can then be used to create a signature that can be used to detect the malware, or to create a tool to remove it. Reverse engineering can also be used to analyze a piece of software or hardware that is suspected of being used for criminal purposes. By understanding how the system works, investigators can figure out how to gather evidence from it or even disable it.
Malicious dlls can be reverse engineered in order to understand how they work and what they do. This process can be used to find vulnerabilities in the dlls that can be exploited. Additionally, reverse engineering can be used to create patches or workarounds for these vulnerabilities. Finally, understanding the internals of malicious dlls can help security researchers develop better detection and protection mechanisms.