windowsapimalware

當我們想要隱藏被使用的WindowsAPI名稱，我們可以先將API名字取HashMD5(VirtualAllocEx)=0x12345678.透過計算所需要API...Forpentest/malwareanalysiscourse, ...,2023年3月5日—ThepurposeofthislabistogetabitmorefamiliarwithAPIHashing-atechniqueemployedbymalwaredevelopers,thatmakesmalware ...,2020年4月29日—WindowsAPICallswhichareinvolvedwithtextmanipulationareoftenappendedwith'A'or'W'.The'A'isusedtoidentif...

參考資訊如下
0x07. Advanced topic - Anti-Debug Anti

當我們想要隱藏被使用的Windows API名稱，我們可以先將API名字取Hash MD5(VirtualAllocEx) = 0x12345678. 透過計算所需要API ... For pentest/malware analysis course, ...

Windows API Hashing in Malware

2023年3月5日 — The purpose of this lab is to get a bit more familiar with API Hashing - a technique employed by malware developers, that makes malware ...

Windows API Calls

2020年4月29日 — Windows API Calls which are involved with text manipulation are often appended with 'A' or 'W'. The 'A' is used to identify functions which work ...

Common API used in Malware

2024年3月26日 — Malware Techniques · DLL Injection · Reflective DLL Injection · Thread Hijacking · PE Injection · Process Hollowing.

在Windows平台上的惡意軟體家族的基序API序列分析

由 姜立垣 著作 · 2016 — 在Windows平台上的惡意軟體家族的基序API序列分析. Malware Family Motif API Sequence Analysis on Windows Platform. 姜立垣(Li-Yuan Chiang). 指導教授： 孫雅麗. 國立 ...

Windows API Hooking — Malware Analysis

2022年12月11日 — This blog present a methodology while creating new tool to perform Windows API calls interception and recording it into a text file through ...

API-MalDetect

由 P Maniriho 著作 · 2023 · 被引用 10 次 — This paper presents API-MalDetect, a new deep learning-based automated framework for detecting malware attacks in Windows systems. The framework uses an ...

ocatakmalware_api_class

Our public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers for malware analysis in csv ...

Dynamic Malware Classification and API Categorisation of ...

由 DZ Syeda 著作 · 2024 — Syeda, D.Z.; Asghar, M.N. Dynamic Malware Classification and API Categorisation of Windows Portable Executable Files Using Machine Learning. Appl. Sci. 2024 ...