Module extraction and DLL hijacking detection via single or multiple memory dumps

Author:

Fernández-Álvarez Pedro,Rodríguez Ricardo J.

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications,Information Systems,Pathology and Forensic Medicine

Reference29 articles.

1. A new approach to malware detection by comparative analysis of data structures in a memory image;Aghaeikheirabady,2014

2. The impact of GPU-assisted malware on memory forensics: a case study. Digital Investigation 14, S16 – S24;Balzarotti,2015

3. Forensic carving of network packets and associated data structures. Digital Investigation 8, S78–S89;Beverly,2011

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1. Exploitation of Thick Client Application Vulnerabilities and a Synopsis of Mitigation: *How to Conduct Attacks to Abuse Weaknesses Present in a Windows Executable File.;2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI);2024-05-23

2. Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization;Cluster Computing;2024-05-05

3. An Exploration of shared code execution for malware analysis;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

4. MemInspect: Memory Forensics for investigating Fileless Attacks;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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