Search Results for "python"

This repo is a public collection of malware samples and related dissection/analysis information, maintained by InQuest. It gathers various kinds of malicious artifacts, executables, scripts, macros, obfuscated documents, etc., with metadata (e.g., VirusTotal reports), file carriers, and sample hashes. It’s intended for malware analysts/researchers to help study how malware works, how they are delivered, and how it evolves.

MicroBurst is a PowerShell toolkit from NetSPI focused on assessing Microsoft Azure security by automating discovery, enumeration, and targeted auditing of cloud services and configurations. It bundles many functions to enumerate Azure resources (subscriptions, VMs, storage accounts, container registries, App Services and more), probe common misconfigurations, and harvest sensitive artifacts when available (for example storage blobs, keys, automation account credentials, and other...

sRDI is a compact project that implements a shellcode form of Reflective DLL Injection, enabling DLLs to be converted into position-independent shellcode and loaded in memory by a small in-process PE loader. The codebase groups a C implementation of a reflective PE loader with multiple loader/wrapper components (native C loader, a .NET loader, Python and PowerShell conversion helpers) so authors can produce and embed sRDI blobs in different environments. The loader aims to behave like a proper...

... of payloads and helper scripts. It aggregates short, copy-ready PowerShell, C, .NET and Python snippets as well as command examples so operators can quickly run checks or reproduce techniques in lab environments. The content also includes .NET payload patterns, reverse PowerShell helpers, notes on privileged accounts and groups, and practical tips for hunting or protecting high-value targets.

Security‑Datasets is a community-driven repository maintained by the Open Threat Research Forge (OTRF) that curates publicly available malicious and benign datasets for threat-hunting, machine learning, event analysis, and cybersecurity research. Datasets include Windows events, logs, alerts, and simulated attack data to support detection engineering and academic research.