Inject malicious code into *.debs
-
Updated
Apr 26, 2022 - Python
#
maliciouscode
Here are 13 public repositories matching this topic...
Collection of various files from infected hosts
malware-samples infected-files php-backdoor malware-sample php-webshells maliciouscode emotet php-webshell php-webshell-backdoor obfuscated-code
-
Updated
Mar 22, 2022 - PHP
Source codes of malwares, stress tests etc. for computer.
-
Updated
Feb 2, 2020 - C++
ExeShield AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.
python machine-learning ai random-forest detection scikit-learn machine-learning-algorithms malware python3 executable artificial-intelligence xgboost machinelearning exe malicious random-forest-classifier maliciouscode benign aimodel xgboost-classifier
-
Updated
Jun 2, 2025 - Python
PowerShell InMemory Execution explained, with samples.
microsoft windows powershell inmemory samples cybersecurity learn powershell-script maliciouscode explained cybersecurity-education inmemoryexecution
-
Updated
Mar 27, 2022 - PowerShell
JavaScript extracted from malicious PDF files using KoalaScanner.com
-
Updated
May 4, 2017 - JavaScript
Creating a Malicious HTML Document
-
Updated
Jun 10, 2022
Malicious code behavior analysis system based on API hook.
-
Updated
Mar 26, 2018 - C++
Malicious Go code for red teaming/pentesting
-
Updated
Sep 25, 2023 - Go
Creating massive memory leaks using Python recursive instantiation
-
Updated
Dec 28, 2016 - Python
This mock case study of a malicious file upload and web shell planting attack illustrates the anatomy of a modern application-layer intrusion and its full lifecycle across investigation, containment, and remediation.
-
Updated
Apr 28, 2025 - Jupyter Notebook
Web shell written in php to exploit {Malicious File Upload}
-
Updated
Nov 2, 2018 - PHP
ExeRay offers a powerful solution for detecting malicious Windows executables using machine learning. With its hybrid detection method, it combines static feature analysis and real-time predictions to enhance security. 🛡️💻
python machine-learning ai random-forest detection scikit-learn malware executable xgboost exe malicious random-forest-classifier maliciouscode benign github-config aimodel xgboost-classifier
-
Updated
Jun 5, 2025 - Python
Improve this page
Add a description, image, and links to the maliciouscode topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the maliciouscode topic, visit your repo's landing page and select "manage topics."