Projects sharing features with Maltrail

ntopng is a web-based network traffic monitoring tool and flow data aggregator. It functions as a network security monitor, an SNMP network management system, and an industrial protocol analyzer for OT and SCADA environments. The system provides specialized inspection for industrial protocols such as Modbus, DNP3, and IEC 60870. It distinguishes itself through behavioral threat detection, encrypted traffic analysis via handshake fingerprinting, and the ability to identify hardware and operating systems using DHCP and MAC address patterns. Its broader capabilities include real-time traffic an

DetectionLab is a reproducible Windows Active Directory security lab designed for testing detection capabilities. It uses an automation framework based on Vagrant and Packer to provision virtualized networks across multiple hypervisors and cloud platforms. The project utilizes Ansible for the declarative installation and configuration of domain services and endpoint security tools. It incorporates a browser-based remote access interface via Apache Guacamole to manage laboratory hosts without requiring standalone remote desktop clients. The environment includes a telemetry pipeline that aggre

Bunkerized Nginx is a containerized security automation system that provides a secure reverse proxy and web application firewall. It focuses on protecting web applications by monitoring container labels within cloud-native orchestration systems to automatically update security settings and firewall rules. The system distinguishes itself through automated security operations, including the automatic management of SSL certificates and an automated client banning mechanism that blocks IP addresses based on HTTP status codes. It features bot challenge mechanisms using CAPTCHAs, JavaScript, or coo

MISP is an open-source threat intelligence sharing platform designed for collecting, storing, and distributing structured threat indicators and intelligence. At its core, it provides a distributed synchronization protocol for transferring events between instances, an attribute-based correlation engine that links matching indicators across events, and a REST API with an OpenAPI specification for programmatic access to threat data. The platform uses formal data formats for JSON, taxonomy, galaxy, and object templates to enable compatibility across tools and communities. The platform distinguish

This project is a comprehensive educational resource and curriculum focused on site reliability engineering, distributed systems, and infrastructure operations. It provides technical guides, a systems engineering course, and instructional manuals designed to teach the principles of managing large-scale computing environments. The curriculum covers high-level architectural design for scalability and resilience, including fault-tolerant infrastructure, high-availability patterns, and microservices decomposition. It emphasizes the practical application of site reliability engineering through the

GOAD is an Ansible-based automation tool and infrastructure orchestrator used to deploy pre-configured networks of vulnerable Windows virtual machines. It serves as a security training environment for practicing Active Directory penetration testing, privilege escalation, and lateral movement across various cloud platforms and local virtualization hypervisors. The project distinguishes itself through a multi-provider infrastructure model and a system of infrastructure recipes that simulate intentional security misconfigurations. It supports the deployment of varied attack scenarios, including

Malware Configuration And Payload Extraction

This project is a security utility for aggregating threat intelligence and automating the deployment of high-performance firewall rules. It functions as an aggregator that fetches and normalizes malicious IP address lists from multiple external security feeds and a management tool that deploys these lists into the Linux kernel using ipset for packet filtering. The system maintains network perimeter defense by using atomic kernel updates to swap IP sets, which allows firewall rules to be updated without interrupting active connections. It includes a range optimizer that simplifies network addr

Security-101 is a vendor-agnostic, foundational cybersecurity learning curriculum organized into modular, framework-aligned modules. It is designed to build core knowledge across multiple security domains without tying content to specific products or platforms, making it suitable for both beginners and professionals seeking a structured introduction to the field. The curriculum is built around established security frameworks, including the MITRE ATT&CK framework for standardized threat analysis and the NIST Cybersecurity Framework for incident response workflows. It covers a broad range of do

HaE is a network traffic analysis tool designed to extract, classify, and highlight specific data fragments within network messages and HTTP traffic. It functions as an HTTP data extractor and traffic content filter, utilizing a network metadata aggregator to centralize highlighted data fragments and annotations for analysis. The tool identifies high-value network packets by mapping classification results to visual color markers and employs a modular classification system to isolate data fragments from binary or text streams. It distinguishes the severity of matched data by piping extracted c

bandwhich is a command-line network utility and terminal bandwidth monitor designed for real-time traffic analysis. It functions as a process-based traffic tracker that links network bandwidth usage directly to the system processes and remote hosts responsible for the data transfer. The tool provides a terminal user interface for monitoring active connections and identifying data-consuming applications. It performs background reverse DNS lookups to associate remote IP addresses with human-readable hostnames and tracks cumulative data utilization over the duration of a capture session. Its br

This repository is a technical documentation site and a collection of guides and references for implementing networking, security, and cloud infrastructure services. It functions as a static-site generated portal and a headless content platform, separating source files from the presentation layer to enable flexible rendering. The project utilizes markdown-based documentation stored in a version-controlled Git repository. It provides specialized technical content including an AI platform documentation for building agents and managing inference, a cloud infrastructure guide for DNS and CDN conf

nDPI is a deep packet inspection toolkit and network protocol classifier designed to identify protocols and detect security threats through packet payload inspection. It functions as a network security monitor and a traffic analysis framework used to determine the services originating network flows. The system utilizes a modular dissector architecture and a sequence-based dissector chain to interpret network traffic. It supports custom protocol definition and protocol dissector extensions, allowing for the identification of proprietary or new network protocols. The toolkit provides capabilit

This project is the core management framework for a security appliance, providing the primary infrastructure for firewall management, network intrusion prevention, and high-availability networking. It serves as the centralized system for controlling network security policies, filtering traffic, and administering a security appliance dashboard. The system is distinguished by its high-availability capabilities, which include synchronizing configurations and connection state tables across redundant nodes to enable automatic hardware failover. It also features a modular plugin architecture for ex

This project is a Python command-line security tool and malware analysis framework designed for threat intelligence aggregation and incident triage. It functions as an aggregator that orchestrates queries across multiple security services and sandboxes to analyze hashes, IP addresses, and domains. The tool distinguishes itself by incorporating an intelligence layer that uses language models to provide automated risk assessments and framework mappings. It also includes specialized capabilities for extracting indicators of compromise from unstructured text, documents, and web pages, as well as

OpenCanary is a network service simulator and honeypot designed for network intrusion detection. It functions as a security decoy that creates fake server personalities and open ports to identify unauthorized users scanning a private network. The system uses deception technology to mimic various server protocols, luring attackers into revealing their presence and activity. When a simulated service is accessed, it acts as an intrusion alerting gateway, transmitting notifications via email or webhooks. The project covers internal network monitoring and intrusion source tracking to identify the

TheHive is a security incident response platform and multi-tenant case management system. It functions as a Security Orchestration, Automation, and Response (SOAR) tool and a threat intelligence platform designed to coordinate security investigations by managing alerts, cases, and observables. The platform is distinguished by its multi-tenant architecture, which isolates data across different organizations while supporting selective cross-tenant sharing. It features a SOAR automation engine capable of executing sandboxed JavaScript logic to automate workflows and trigger response actions thro

Naxsi is a web application firewall for NGINX servers designed to protect web applications from attacks by inspecting HTTP traffic for malicious patterns and vulnerability signatures. It functions as a vulnerability signature filter that matches incoming requests against known markers for threats such as SQL injection and cross-site scripting. The system includes a learning system and an automated rule generation utility to reduce false positives. It analyzes website behavior over time to create traffic whitelists and security exceptions for legitimate traffic patterns. The project provides

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 community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis

Arkime is a distributed packet analysis platform and full packet capture system designed for recording raw network traffic, indexing metadata, and performing network forensics. It functions as a network traffic indexer and security tool that enables the monitoring, querying, and browsing of large-scale network traffic across multi-cluster architectures. The platform distinguishes itself through its ability to manage distributed capture clusters from a centralized administrative dashboard. It integrates external data feeds with internal traffic logs to identify known threats and provides a pro

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

Moloch is a full packet capture system and network forensics platform designed for large scale network traffic recording and indexing. It functions as a distributed packet indexer that stores raw data in PCAP format for deep packet analysis and security investigations. The system distinguishes itself through a decentralized architecture that distributes capture and viewing components across multiple nodes to handle high volumes of network traffic. It utilizes a web-based management interface for browsing network sessions and provides a programmable API for exporting captured traffic and metad

Ecapture is a suite of specialized auditing tools designed to capture plaintext database queries, log executed shell commands, forward packet captures, and decrypt TLS traffic. The system extracts plaintext content from encrypted communications and TLS master secrets without requiring CA certificates. It further monitors data interactions by capturing SQL queries from database instances and recording commands from shell environments for host-level auditing. The toolset includes capabilities for network traffic analysis, exporting captured data to pcapng files, and forwarding events to extern

This application is a desktop network traffic analyzer that provides real-time monitoring and forensic inspection of data packets. By interfacing directly with low-level system drivers, it captures raw network traffic from physical or virtual adapters to identify communication patterns, track bandwidth usage, and diagnose connectivity issues. The system distinguishes itself through an immediate-mode graphical interface that rebuilds the display state every frame, ensuring high responsiveness during live data updates. It maintains performance by using asynchronous message passing to decouple t

Wazuh is an integrated security platform that combines endpoint detection and response, security information and event management, and cloud workload protection. It functions as a centralized system for collecting telemetry, aggregating logs, and correlating events across distributed infrastructure to maintain security and integrity. The platform distinguishes itself through its active response orchestration, which allows for the automated execution of scripts on remote endpoints to neutralize threats in real time. It provides deep visibility into system activity through file integrity monito

This project is a detection-as-code framework providing a library of security monitoring rules and predefined detection content for Elasticsearch data indices. It serves as a threat detection rule library designed to identify malicious activity and attack patterns across diverse data streams in cloud and on-premises environments. The framework implements a detection engineering workflow where rules are defined in YAML and managed as versioned code. It includes a set of command-line utilities for automated rule deployment, metadata searching, and template generation, supported by a Python-base