Open Source Intrusion Detection Systems

Webmin is a web-based administration interface for Unix systems. It provides a centralized console for managing the full range of server administration tasks — users and groups, software packages, storage, network configuration, system services, and security — all through a browser. Its modular architecture allows separate modules to handle databases (MySQL, MariaDB, PostgreSQL), web servers (Apache), DNS (BIND), email (Sendmail, Dovecot), file sharing (Samba, NFS), and more, with a unified access control system that restricts what each administrator can see and do. What sets Webmin apart is its ability to manage multiple servers from a single dashboard. It can synchronize users, packages, and settings across a cluster, execute commands on remote hosts, and provide proxy access to other servers' web interfaces. Security is built into the core — it includes firewall rule management, intrusion detection via Fail2Ban, SSL/TLS encryption, two-factor authentication, and granular per-module permissions. The platform also supports automation through cron job scheduling, backup jobs, and remote API calls, making routine maintenance tasks scriptable. Beyond its default modules, Webmin provides a framework for creating custom modules and themes, with a consistent UI generation API, internationalization, and file-based configuration abstraction. This extensibility, combined with its coverage of common server services, means a single installation can replace multiple separate administration tools for a Unix server or a small cluster.

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 the packet capture engine from the rendering thread. To provide context for network activity, the application performs real-time enrichment through high-speed database lookups, enabling features like autonomous system identification, host location mapping, and reverse DNS resolution. Beyond basic monitoring, the tool includes comprehensive diagnostic and security capabilities. Users can apply granular traffic filtering, manage alert conditions for specific network events, and utilize automated threat detection to identify and block suspicious connections. The software also supports the recording of traffic data into standard file formats for offline analysis and provides configuration options for operation within isolated containerized environments.

This project is a comprehensive, curated directory of cybersecurity resources, software, and documentation designed to support system and network protection. It serves as a centralized knowledge base and index for security professionals, aggregating industry-standard practices and open-source tools across a wide range of technical domains. The repository distinguishes itself by providing a structured collection of methodologies and frameworks for security operations. It covers critical areas including threat intelligence, digital forensics, infrastructure auditing, and vulnerability assessment management. By organizing these materials, the project assists in the discovery and implementation of solutions for network monitoring, incident response, and the maintenance of consistent security configurations across diverse environments.

GoodbyeDPI is a censorship circumvention utility designed to bypass deep packet inspection and restrictive network filtering. It functions as a background engine that intercepts and modifies network traffic at the kernel level, allowing users to maintain connectivity in environments where specific protocols or web content are blocked. The tool employs active manipulation techniques to confuse inspection hardware, including TCP stream fragmentation, HTTP header obfuscation, and the injection of out-of-order packets. By altering packet structures and dropping specific redirection patterns, it masks browsing activity and prevents automated systems from identifying or blocking outgoing requests. The application operates as a persistent system service, ensuring that traffic filtering remains active across reboots. Users manage these operations through a command-line interface, which provides granular control over packet modification strategies, DNS redirection, and various bypass parameters.

Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes network state using version-controlled manifests. It supports complex connectivity requirements through peer-to-peer NAT traversal, which facilitates direct encrypted connections between nodes, with automatic fallback to server-based relaying when necessary. Additionally, it provides browser-based access to remote resources, eliminating the need for local client software for many common administrative and service-access tasks. Beyond its core tunneling capabilities, the platform includes a comprehensive suite of tools for traffic management, security, and observability. It features granular access control policies based on user identity, geolocation, and network attributes, alongside automated certificate management and multi-factor authentication. The system also provides extensive monitoring, audit logging, and alerting capabilities to track infrastructure health and security events across multi-site deployments. Pangolin is designed for containerized and multi-site environments, offering flexible deployment options through standard packaging and automated reconciliation workflows.

This project is an automated security testing suite designed to detect and exploit database vulnerabilities. It functions as a command-line utility that streamlines the identification, verification, and exploitation of web application flaws by automating the injection of malicious payloads into input parameters. The tool provides a comprehensive framework for database enumeration, allowing users to extract schema information, user data, and system configurations from identified injection points. What distinguishes this tool is its sophisticated engine for dynamic payload adaptation and heuristic fingerprinting, which adjusts injection techniques in real-time based on server responses. It supports advanced post-exploitation capabilities, including remote command execution on the underlying host operating system and file system access through database-level vulnerabilities. To navigate restricted environments, the software incorporates out-of-band data exfiltration channels and a middleware pipeline for applying user-defined transformations to bypass security filters and web application firewalls. The suite covers a broad range of operational requirements, including stateful session management, anti-CSRF token handling, and extensive request customization. It supports various target specification methods, such as proxy log analysis and remote API management, while offering granular control over scan performance and detection thresholds. The software is distributed as a command-line application, with configuration management supported through external file loading and command-line arguments.

This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks, and educational materials. It functions as an open-source knowledge base, organizing diverse engineering domains and technical resources into a structured taxonomy to assist developers in discovering high-quality content. The directory distinguishes itself through a decentralized peer-review model, where independent contributors curate, verify, and update entries to ensure accuracy and relevance. All information is stored in a version-controlled, flat-file markdown format, which ensures platform independence, transparency, and auditability for the entire collection. The project covers a vast capability surface, spanning technical resource discovery, professional career advancement, and software development knowledge management. It provides access to structured learning paths, infrastructure and security tools, data management utilities, and specialized resources for fields ranging from healthcare to digital humanities. The repository is maintained as a public, version-controlled collection, allowing for programmatic access and community-driven updates to its structured data.

This project is a comprehensive, community-sourced knowledge base designed for security professionals and researchers. It functions as a centralized repository of offensive security techniques, providing a structured collection of exploit payloads, attack vectors, and methodologies for conducting vulnerability assessments and penetration testing. The repository distinguishes itself through a cross-platform payload taxonomy that categorizes exploitation methods by vulnerability type and target environment, enabling rapid lookup during security assessments. It maintains high standards of data integrity and collaborative growth by utilizing version-controlled knowledge management and template-driven content generation, ensuring that the research remains current and consistent across a wide range of technical domains. The project covers a broad capability surface, including detailed references for web application security, database injection, insecure deserialization, and AI model security testing. It also aggregates external resources, such as research papers and third-party tools, to provide a holistic view of modern threat analysis and defensive research. The documentation is organized as a hierarchical tree of markdown files, designed for easy navigation and reference during active security engagements.

This project is a community-curated repository of YARA rules used to detect malware, webshells, and other malicious patterns in files. It serves as a dataset of signatures for identifying known malware families, software packers, and threat intelligence indicators. The collection provides specialized detection capabilities for identifying exploit kits and anti-analysis evasion techniques, such as anti-debugging and anti-virtualization methods. It also includes signatures for cryptographic algorithm detection and the identification of unauthorized remote administration tools on servers. The repository covers a broad surface of digital forensics and security analysis, including the inspection of malicious documents and emails for embedded code. It further supports threat hunting through the identification of patterns associated with system compromises and active security breaches.

Trivy is a comprehensive security scanner designed to identify vulnerabilities and misconfigurations across container images, filesystems, and infrastructure as code files. It functions as a software composition analysis tool and an infrastructure security scanner, providing automated checks for CI/CD pipelines and cloud environments to ensure the integrity of the software supply chain. The tool distinguishes itself through a modular, plugin-based architecture that allows for the independent inspection of diverse targets. It utilizes a declarative policy engine to evaluate configurations against compliance standards and relies on a remote, periodically updated vulnerability database to maintain current detection logic without requiring binary updates. By employing static analysis pattern matching, it maps disparate scan results into a unified output schema for consistent reporting. Beyond its core scanning capabilities, the project supports cloud infrastructure auditing and deep inspection of local and remote environments. It is distributed as a single cross-platform executable, and comprehensive configuration and usage details are available in the project's official user guide.

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 and supports the distribution of security plugins and rule sets as OCI-compliant artifacts. Broad capabilities include comprehensive event collection via eBPF probes, metadata-driven event enrichment, and a flexible alerting pipeline that routes structured JSON alerts to external SIEMs, webhooks, and data lakes. The project also provides tools for rule management, including syntax validation and macro-based logic simplification, as well as operational telemetry exported via Prometheus. Deployment is supported through packages, archives, and a declarative Kubernetes-native operator.

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 external repositories, allowing users to fetch and organize third-party tools directly into a structured local directory. By utilizing a categorized menu system and shell-based process execution, the suite enables efficient navigation and direct invocation of specialized tools for tasks ranging from forensic analysis and reverse engineering to exploit development. The toolkit covers a broad spectrum of security domains, including web and wireless attack vectors, cloud security, payload creation, and social media analysis. It also incorporates automated environment setup to handle the installation of necessary system packages and language runtimes, ensuring compatibility across its diverse collection of utilities.

OpenEDR is an endpoint detection and response platform designed to collect telemetry and monitor system activity to identify security breaches. It functions as a host-based intrusion detection system and telemetry collector, gathering detailed data on process, network, and file activity. The system includes a dockerized security stack that bundles search, logging, and visualization tools into containers for analyzing endpoint telemetry. It features a security event visualizer that maps process lineage and indexes logs to facilitate root-cause analysis of attacks. The platform provides capabilities for monitoring system API calls, file and registry access, and network traffic. It incorporates security breach detection and alerting through customizable telemetry filtering rules and policy configurations. To maintain system integrity, it employs a dedicated self-protection provider to prevent unauthorized modifications to monitoring agents and configurations.

Gitleaks is a security scanning engine designed to identify hardcoded credentials, API keys, and other sensitive information within version control systems and local file structures. It functions as a static analysis tool that automates the detection of secrets, helping to prevent the accidental exposure of sensitive data during the development lifecycle. The tool distinguishes itself through its ability to perform deep forensic analysis of git history, allowing users to audit entire project timelines or enforce security gates within continuous integration pipelines. It supports complex detection logic through composite rules and provides mechanisms for baseline management, which enables teams to ignore existing findings and focus exclusively on new security risks. By offering pre-commit hook integration and exit-code-based orchestration, it allows for the enforcement of security policies directly within developer workflows and automated build environments. Beyond core scanning, the project provides a broad set of utilities for managing security findings, including support for decoding obfuscated strings, inspecting compressed archives, and filtering results through allowlisting or path exclusions. It facilitates compliance and reporting by exporting structured data, which can be integrated into external dashboards or tracking systems. The tool is built to handle various input sources, including direct file system traversal and standard input streams, ensuring compatibility with diverse development and deployment environments.

Fail2ban is an intrusion prevention system that monitors system log files to detect malicious activity and automatically enforce security policies. By parsing log data in real time, the tool identifies patterns of unauthorized access or repeated authentication failures and responds by dynamically updating network access control lists to restrict offending sources. The software functions as a firewall automation tool that maintains stateful tracking of suspicious behavior across various network services. It utilizes a regex-driven pattern matching engine to identify specific attack signatures, allowing administrators to define custom filter criteria for different services. This approach enables the automated mitigation of brute force attacks and credential stuffing attempts by temporarily banning hosts that exceed configurable security thresholds. The system architecture decouples event detection from the execution of blocking commands, ensuring that security responses do not impact overall system performance. It employs a firewall-abstraction layer to translate these security bans into system-level commands, supporting integration with various packet filtering tools to harden Linux server environments.

Pi-hole is a self-hosted network utility that functions as a DNS sinkhole server to provide network-wide ad blocking. By acting as a dedicated network gateway, it intercepts and discards requests for known advertising, tracking, and malicious domains across an entire local network, preventing unwanted content from loading on any connected device. The software operates through a lightweight background daemon that handles high volumes of concurrent DNS queries with minimal resource overhead. It utilizes a host-file injection mechanism to redirect traffic toward its local filtering engine and applies regex-based pattern matching to identify and block specific domain requests. Users manage these operations and monitor network traffic statistics through a centralized, web-based configuration interface. Beyond blocking, the project provides tools for comprehensive DNS traffic management and home network security. By resolving domain names locally, it offers increased visibility into outgoing internet traffic and helps optimize network performance by preventing the download of resource-heavy tracking scripts and advertisements.

ModSecurity is an open-source web application firewall and security engine. It functions as an HTTP traffic inspector and intrusion detection system that filters incoming web requests and responses against a set of security rules to block threats and prevent attacks on web servers. The project provides a modular framework for implementing restrictive security policies and custom filtering logic. It identifies and blocks common injection attacks, such as cross-site scripting and SQL injection, while hardening web applications to reduce their overall attack surface. Its broader capabilities include web traffic auditing, the ability to process XML content, and the identification of user location through database lookups. It also supports the execution of custom scripts to implement dynamic security behavior during request processing.

Trufflehog is a security tool designed to continuously monitor code repositories and cloud environments to detect, verify, and remediate exposed sensitive credentials and API keys. It functions as a comprehensive secret scanning engine that integrates directly into deployment pipelines and version control systems to intercept sensitive data before it is committed or pushed. By utilizing read-only operations and volatile memory processing, the system ensures that discovered credentials are never stored persistently, maintaining strict data privacy throughout the scanning lifecycle. The platform distinguishes itself through a privacy-focused architecture that relies on cryptographic fingerprinting to track and deduplicate findings without ever transmitting or storing raw sensitive values. It supports distributed scanning via independent agents that connect to a central dashboard, allowing for localized analysis while maintaining network isolation. Furthermore, the system provides automated incident response capabilities, including secret rotation and revocation, which help organizations minimize the window of vulnerability for compromised credentials. Beyond core detection, the project offers a broad capability surface for enterprise-wide access governance and security compliance. It includes modular detection logic for custom rule definitions, integration with external identity providers for role-based access control, and extensive monitoring across cloud storage, container infrastructure, and collaboration platforms. The system also provides detailed metadata tracing to link findings to specific users, pipelines, or commits, facilitating efficient remediation and auditability across large-scale development environments.

Filestash is a unified storage management platform that provides a web-based interface for browsing, managing, and accessing files across diverse local and cloud storage backends. It functions as a centralized gateway, aggregating services such as S3, SFTP, WebDAV, and FTP into a single, consistent environment for remote filesystem administration and secure document handling. The platform distinguishes itself through a modular, plugin-based architecture that supports custom storage drivers, authentication providers, and authorization logic. It includes built-in capabilities for server-side media transcoding, on-the-fly file preview rendering for various document and media formats, and event-driven workflow orchestration that triggers external processes based on file system activity. Security and operational oversight are managed through middleware-based access control, system activity auditing, and automated SSL certificate provisioning. The platform also integrates with artificial intelligence agents, enabling them to access and analyze documents directly, while providing enterprise-grade features such as versioning, recycle bins, and threat detection to maintain data integrity and compliance.

The framework is a comprehensive penetration testing platform designed for the development, testing, and execution of security exploits. It serves as a research toolkit and automated assessment environment, enabling security professionals to identify and validate vulnerabilities within networked systems and infrastructure through repeatable, standardized procedures. The platform distinguishes itself through a modular architecture that supports reflective payload injection, allowing for the execution of code directly in memory without writing to disk. It utilizes an asynchronous event loop to manage high-performance, concurrent network connections and features a transport-agnostic communication layer that abstracts protocols to maintain persistent command and control. Users can extend the core functionality through a plugin system and define complex exploit logic using a domain-specific language. The framework provides robust capabilities for remote payload management, including the configuration of network settings like sleep intervals and timeout thresholds. It maintains state persistence across long-running sessions by storing discovered host information and vulnerability data in a relational database. The software is designed for cross-platform deployment, with installation support available for Linux, macOS, and Windows environments.