Projects sharing features with Chainsaw

GRR is a distributed incident response platform and asynchronous forensic task orchestrator. It functions as a remote forensics framework designed to collect and analyze volatile data, system memory, and digital artifacts from remote hosts during security incident response. The system operates as a remote endpoint triage system, utilizing a coordinated architecture to manage a fleet of agents. It enables the execution of investigative tasks across multiple systems, allowing for the search of files and registries across a large fleet of machines to identify compromised hosts. The platform pro

pe-sieve is a set of diagnostic tools for scanning Windows process memory to identify malicious implants, shellcode, and hooks. It functions as an in-memory implant detector, malware unpacker, and process callstack analyzer designed to locate and dump memory patches and injected code from running processes. The project identifies advanced evasion techniques, such as process hollowing and reflective injection, by verifying portable executable structures in memory. It distinguishes itself by analyzing process callstacks to detect anomalies and redirections and by reconstructing executable heade

Loki is an endpoint detection tool, forensic artifact analyzer, and threat intelligence scanner. It functions as a YARA-based indicator of compromise scanner designed to identify malicious persistence mechanisms, web shells, and unauthorized administration tools across local and remote systems. The project distinguishes itself by integrating multi-source threat intelligence, allowing for the loading of custom signature sets and encrypted indicators. It combines hash-based artifact detection with YARA rule execution to scan files, process memory, and registry hives for known malicious byte seq

ThreatHunter-Playbook is a structured framework for managing threat hunting playbooks, detection engineering workflows, and adversary tradecraft modeling. It provides a system for organizing behavioral patterns and detection rules into tactical groups to develop security monitoring hypotheses. The project features an interactive security notebook environment that combines analytics and validation queries to test threat hypotheses against telemetry datasets. It includes a mapping tool for organizing these patterns based on the MITRE ATT&CK security framework. The framework covers the full thr

Emergency-Response-Notes is a collection of technical reference documentation and playbooks used for performing forensic analysis, incident response, intrusion identification, and malware remediation. It serves as an incident response knowledge base and an intrusion analysis framework to help identify web shells, hidden backdoors, and persistence mechanisms used during security attacks. The project utilizes a case-study-based knowledge base to map real-world attack scenarios to specific mitigation and recovery steps. It provides a digital forensics playbook and a malware remediation guide for

LDTK is a visual 2D level editor used for designing game worlds, layouts, and entities. It focuses on transforming visual map designs into structured JSON files for integration into game engines, while providing utilities to export level data into the Tiled TMX format for external compatibility. The tool integrates directly with Aseprite, allowing source artwork to be linked to the editor so that visuals update in real time as external image files are saved. It also features automated tile rendering that applies visual skinning rules based on predefined configurations to manage map aesthetics

LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a dockerized security auditor that utilizes a security event graph database to map account names and network addresses, allowing for the visualization of complex system compromise patterns and authentication paths. The system features a Sigma detection engine that scans imported event logs against standardized rule sets to identify known malicious activity. It also includes an anomalous behavior detector that applies statistical analysis, graph algorithms, and hidden Markov models to

Volatility3 is a memory forensics framework and analysis tool used to parse volatile memory dumps. It extracts digital artifacts and reconstructs the runtime state of a system to recover process information, network artifacts, and other forensic evidence. The system functions as a plugin-based forensic engine and an operating system symbol resolver. It maps raw memory addresses to known system structures using symbol tables and translation layers, and provides an extensible architecture for creating custom scanners and renderers. The framework includes a command-line memory explorer for real

LOLBAS is a curated database and knowledge base of signed Windows binaries that can be misused to bypass security restrictions and execute unauthorized code. It serves as a technical registry that maps trusted system files to their functional capabilities and the offensive tactics they enable. The project distinguishes itself by providing a capability-driven indexing system and a tactics registry that relates legitimate binary functionality to known security evasion techniques. It includes an association layer that links specific system binaries to attack patterns and tactical objectives, pro

Volatility is a memory forensics framework and digital forensics tool designed to extract and analyze evidence from volatile computer memory dumps. It functions as a memory dump parser and analysis platform used to identify running processes, network connections, and loaded modules from a system RAM capture. The framework enables the reconstruction of system state to uncover malicious activity, such as rootkits and injected code, during malware incident response and threat hunting. It provides capabilities for digital forensic investigations to detect unauthorized access and indicators of com

CyLR - Live Response Collection Tool

Unredacter is a computer vision text reconstructor and image forensics utility designed to recover hidden characters from pixelated images. It functions as a tool for reversing pixelation to identify text within obscured visual blocks. The system uses a process of comparing pixelated image blocks against rendered candidate characters that match the typographic styles of the target text. This allows for the reconstruction of obscured information through automated visual analysis. The project covers capabilities for digital forensics analysis, image redaction testing, and information leakage a

Depix is a pixelation recovery tool and digital forensics utility designed to reconstruct plaintext from pixelated images. It functions as a brute-force text reconstructor that identifies original text sequences by matching pixel blocks against a library of rendered characters. The tool operates as a proof of concept for image de-pixelation, utilizing pattern analysis to reveal hidden information. It is used for digital forensic analysis and redaction security testing to evaluate the effectiveness of pixelation as a method of obscuring sensitive data. The reconstruction process involves colo

Falco is an eBPF runtime security monitor and cloud native detection engine that identifies abnormal behavior and security threats across hosts and containers. It functions as a Linux kernel event auditor, capturing system calls and kernel events in real-time to detect malicious activity. The system distinguishes itself through a rule-based threat detection model that evaluates system activity against a library of community-maintained rules and custom security definitions. It enriches raw kernel events with container and Kubernetes metadata to provide observability into isolated environments

CrowdSec is a collaborative, distributed security engine designed for threat detection and infrastructure protection. It functions as an intrusion detection system that parses logs and network traffic to identify malicious patterns, utilizing a bucket-based threshold detection model to aggregate events and trigger alerts. The platform is built on a modular architecture that includes a centralized local API server for managing security signals and a relational database for persistent storage of remediation decisions. What distinguishes the project is its decoupled enforcement model, which offl

This project is a comprehensive cybersecurity tool collection designed to support security research, penetration testing, and vulnerability assessment. It functions as a unified penetration testing suite, providing a centralized environment where professionals can access a wide range of offensive security utilities to identify system weaknesses and study attack vectors. The platform distinguishes itself through a modular architecture that aggregates disparate security scripts into a single, hierarchical command-line interface. It simplifies the management of these utilities by integrating ext

Sigma is a generic SIEM signature format and log event pattern standard used to describe malicious activity. It provides a vendor-neutral system for defining security event patterns in YAML, ensuring that detection logic remains portable across different monitoring platforms. The project maintains a curated library of peer-reviewed detection rules that identify threats and compliance violations. This standardized approach allows for the exchange of threat hunting logic and the translation of generic signatures into specific queries for various security information and event management systems

ThreatHunter-Playbook is a collection of standardized playbooks, detection libraries, and tradecraft guides designed to inform threat hunt planning. It provides a security detection repository of validated queries and hypotheses, alongside an adversary tradecraft guide that details system behaviors and data sources associated with attacker techniques. The project focuses on the development of hunt blueprints and the standardization of detection logic. It integrates the MITRE ATT&CK framework to map detections and hypotheses to adversary tactics and techniques, ensuring coverage analysis is st

gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos

Security Onion is a security information and event management platform and network security monitoring suite. It functions as an intrusion detection system and a network traffic analysis tool designed to identify malicious activity and network intrusions through signature-based detection and host-based monitoring. The platform integrates a security case management system to organize investigations by tracking detections and grouping related security events. It provides capabilities for full packet capture, network metadata extraction, and the collection and indexing of security logs from dive

Tracee is a cloud-native runtime security and forensics tool that uses eBPF to capture system calls and kernel events in real time. It operates as a standalone binary or a Helm-deployable agent for Kubernetes, normalizing system calls, network events, and container activities into a unified event pipeline for consistent analysis. The tool distinguishes itself through policy-driven event filtering using YAML-based rules, allowing users to target specific workloads and reduce noise during monitoring. It includes built-in threat detection signatures that flag suspicious behavioral patterns witho

ClamAV is an open-source antivirus engine and malware detection scanner. It identifies trojans, viruses, and other malicious software by scanning files and data streams against a database of known signatures. The system functions as a signature-based threat detector, allowing for the implementation of threat intelligence by turning malware samples into actionable signatures. It supports the creation of custom malware signatures to identify specific or specialized security threats. The engine provides capabilities for endpoint security monitoring and comprehensive malware detection scanning a

ThreatHunter-Playbook is a threat hunting playbook framework and detection engineering workflow designed to standardize the security detection lifecycle. It functions as a community-driven repository for adversary tradecraft and detection logic, using interactive notebooks to combine technical documentation with executable analytics. The project provides a validation suite for testing security hypotheses against pre-recorded telemetry datasets. This ensures that detection logic is verified in local or cloud environments before being deployed to production. The framework covers security detec

Context7 is an AI-powered documentation retrieval engine designed to provide developers and AI agents with real-time, context-aware access to technical documentation and code snippets. By integrating external library documentation as callable tools, the platform equips AI coding assistants with project-specific knowledge, helping to improve generation accuracy and reduce hallucinations during inference. The platform distinguishes itself through a robust security and governance framework that manages documentation as a centralized knowledge base. It employs a multi-source ingestion pipeline to

WeChatMsg is a database forensic parser and local data processor designed to extract and reconstruct structured message data from raw binary files. By operating entirely on the host machine, the tool ensures data sovereignty and privacy, performing all decryption and transformation tasks without requiring network access or external dependencies. The project distinguishes itself through a static analysis-based extraction method that reconstructs message threads by matching unique identifiers and timestamps across fragmented database tables. Its decoupled architecture separates low-level binary