Search Results for "bastille-linux"
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Showing 10 open source projects for "bastille-linux"
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SpotX
SpotX patcher used for patching the desktop version of Spotify
SpotX is a community-built Spotify desktop client patcher that blocks audio, video, and banner ads and unlocks premium-like features—such as unlimited skips and custom themes—on Windows, macOS, and Linux. It injects tweaks client-side to redefine the Spotify experience. -
2
BadUSB
Flipper Zero badusb payload library
This project explores USB device emulation attacks—commonly called BadUSB—by demonstrating how commodity USB hardware can impersonate keyboards, network adapters, or storage devices to perform scripted actions on a host. It typically contains firmware examples, payloads, and explanations showing how a device presenting as a Human Interface Device (HID) can inject keystrokes, open shells, or orchestrate data exfiltration when plugged into a machine. The codebase is frequently intended for... -
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PoshC2
C2 framework used to aid red teamers with post-exploitation
PoshC2 is a proxy-aware C2 framework used to aid penetration testers with red teaming, post-exploitation and lateral movement. PoshC2 is primarily written in Python3 and follows a modular format to enable users to add their own modules and tools, allowing an extendible and flexible C2 framework. Out-of-the-box PoshC2 comes PowerShell/C# and Python2/Python3 implants with payloads written in PowerShell v2 and v4, C++ and C# source code, a variety of executables, DLLs and raw shellcode in... -
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malware-samples
A collection of malware samples and relevant dissection information
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. -
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5
TigerSafe
Free open source password manager
TigerSafe is a free open source password manager. It allows to store passwords in a file, without internet, by encrypting them with a single password. The user can then use a different password for every website he wants to use, and only has to remember a single password: the one used to encrypt/decrypt the file storing his passwords. It is highly recommended to do backups of the file storing passwords with TigerSafe, for example copy/paste it in USB flash drives, cloud drives like Google... -
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BloodHound Legacy
Six Degrees of Domain Admin
BloodHound Legacy is the deprecated open‑source version of the BloodHound Active Directory attack path analysis tool. It uses graph theory to model and visualize privileged relationships in AD, Entra ID, and Azure environments. Security professionals use it to enumerate domain privilege escalation paths, misconfigurations, and attack surfaces in corporate networks -
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BloodHound
Six Degrees of Domain Admin
BloodHound is a single-page Javascript web application, built on top of Linkurious, compiled with Electron, with a Neo4j database fed by a C# data collector. BloodHound uses graph theory to reveal the hidden and often unintended relationships within an Active Directory or Azure environment. Attackers can use BloodHound to easily identify highly complex attack paths that would otherwise be impossible to quickly identify. Defenders can use BloodHound to identify and eliminate those same attack... -
8
Offensive Reverse Shell
Collection of reverse shells for red team operations
The Offensive Reverse Shell Cheat Sheet is a compilation of reverse shell payloads useful for red team operations and penetration testing. It provides ready-to-use code snippets in various programming languages, facilitating the establishment of reverse shells during security assessments. -
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Security Datasets
Re-play Security Events
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. -
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