Network Security and Analysis

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.

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.

This project is a comprehensive, community-curated directory of cybersecurity resources, tools, and educational materials. It functions as a centralized index for researchers and students to discover frameworks and utilities across the entire security lifecycle, ranging from initial vulnerability assessment to post-exploitation analysis. The repository distinguishes itself through a hierarchical taxonomy that organizes diverse security disciplines into a searchable, version-controlled knowledge base. Rather than hosting software directly, it utilizes a decentralized aggregation model that links to external platforms, training environments, and specialized toolkits, ensuring the index remains current through community-driven contributions. The collection covers a broad spectrum of security domains, including automated vulnerability scanning, network traffic analysis, and digital forensics. It also provides access to specialized resources for binary reverse engineering, penetration testing training, and competitive platforms such as capture-the-flag events and bug bounty programs. All information is maintained in a lightweight, markdown-based format, allowing for rapid navigation and reference within the repository.

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.

Routersploit is a penetration testing framework designed for the security assessment of embedded network devices and routers. It functions as a comprehensive tool for auditing hardware configurations and testing network protocols to identify and verify security vulnerabilities. The framework utilizes a modular plugin architecture that allows for the dynamic loading of exploit and scanner modules. It provides a centralized command interface that manages target state and executes controlled payloads, enabling the automation of security testing across diverse network hardware. The platform covers a broad range of capabilities, including the identification of network weaknesses and the execution of protocol-specific payload injections. It employs asynchronous scanning and pattern-based response parsing to analyze active services and firmware configurations for potential security risks.

This project provides a comprehensive, modular framework for auditing and hardening personal digital and physical security. It functions as a structured, platform-agnostic knowledge base that breaks down complex security standards into granular, actionable tasks. By utilizing a static documentation architecture, the project ensures that its guidance remains accessible and transparent, allowing users to track their security posture incrementally through a persistent, manual progress-tracking system. The project distinguishes itself by bridging the gap between digital cybersecurity and physical threat mitigation. Beyond standard account and network hardening, it offers specialized guidance on physical countermeasures, such as electromagnetic signal shielding, hardware sensor obfuscation, and the use of physical security hardware to prevent unauthorized data access. It also emphasizes privacy-centric alternatives to mainstream platforms, curating directories of software and decentralized services designed to minimize digital footprints and data harvesting. The scope of the guidance covers a wide range of domains, including digital identity protection, secure communication practices, and the auditing of mobile, web, and smart home environments. It provides systematic methodologies for managing cryptographic assets, enforcing multi-factor authentication, and sanitizing media metadata to prevent tracking. The repository serves as a centralized resource for ongoing security education, offering curated tool directories and threat intelligence to help users maintain a proactive defense against evolving surveillance and security risks.

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.

CrackMapExec is a network penetration testing framework and automated security scanner designed to assess security postures across large IP ranges. It functions as a multi-protocol security scanner and network protocol auditor used to identify vulnerabilities and misconfigurations. The tool provides capabilities for Active Directory auditing to enumerate users and permissions, as well as post-exploitation enumeration to gather system metadata and discover lateral movement paths. It includes a framework for credential spraying and harvesting across various network services. The system utilizes asynchronous network I/O and parallel execution to manage high volumes of socket connections. It employs a modular protocol implementation and dynamic plugin loading to extend security assessment tools, with a local database for persisting discovered credentials and host metadata.

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.

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven tool access, which enforce security boundaries by restricting agent operations based on defined functional roles. It utilizes context-aware task routing to match incoming requests with specific agent capabilities and model performance profiles, while implementing deterministic fallback mechanisms to maintain operational continuity when agents encounter errors or context limits. This architecture allows for modular capability expansion and reproducible environment configurations through version-controlled templates. The system covers a broad capability surface, including automated technical documentation, cloud infrastructure management, and security auditing. It supports diverse domains such as API design, database optimization, and system reliability engineering, providing tools for incident response, performance monitoring, and compliance enforcement. These capabilities are integrated into a command-line interface that enables developers to search, fetch, and deploy specialized subagents directly from the repository.

Suricata is an open-source network intrusion detection and prevention engine that analyzes live network traffic in real-time to identify and alert on malicious activity. It operates as a rule-based threat detection system, matching traffic against user-defined signatures to detect known attack patterns and policy violations, and can be placed inline to actively block malicious packets before they reach their target. The engine inspects a wide range of application-layer protocols including HTTP, DNS, TLS, SMB, and MQTT, and supports high-performance packet capture through specialized hardware and kernel-bypass techniques. The engine is distinguished by its Lua scripting extension system, which allows custom detection logic and output formatting to be embedded directly in rules and modules without recompiling the core. It maintains per-flow state tracking across multiple packets for context-aware analysis, and provides a hardware offload abstraction layer that delegates packet capture and pattern matching to supported network interface cards. A Unix socket control interface enables external processes to manage rules, retrieve statistics, and control the engine at runtime, while the entire engine can be embedded as a shared library within custom applications through its API. Suricata supports both passive network monitoring and inline intrusion prevention, with the ability to read PCAP files for offline forensics and extract files from network streams for malware inspection. It offers structured JSON logging for integration with external log management tools, automatic log rotation, and the ability to profile rule processing times to identify performance bottlenecks. The engine can be configured through a hierarchical YAML file with include support, and provides tools for managing detection rules, migrating from Snort format, and upgrading between engine versions.

Shadowsocks is a secure network tunneling tool designed for censorship circumvention and private internet connectivity. It functions as a proxy system that routes traffic through encrypted tunnels, allowing users to bypass regional network restrictions and protect data from interception across public infrastructures. The project utilizes a lightweight, custom proxy protocol that incorporates stream-based cipher encryption to obfuscate payload content and prevent deep packet inspection. By employing an asynchronous, event-driven networking model, the system manages concurrent connections efficiently. It establishes secure communication through a structured client-server handshake and authentication process, ensuring that all data transmission adheres to defined encryption requirements. The framework provides a modular approach to building and deploying custom proxy infrastructure, featuring a cross-platform socket abstraction layer that ensures consistent traffic routing across different operating systems. This implementation allows for the configuration of specialized connection handlers to manage data flow between local clients and remote server endpoints.

This project is a comprehensive computer networking textbook and instructional resource. It serves as a technical guide for the design and implementation of network layers, protocols, and hardware architecture, covering the spectrum from physical links to application-layer protocols. The content provides a detailed study of standards for congestion control, reliable data delivery, and internetwork routing. It includes specialized technical material on network security, public-key infrastructure, and the operation of modern cloud infrastructure and data centers. The material covers a broad range of capabilities, including network protocol design, multimedia streaming systems, and security engineering. It also addresses performance optimization through the analysis of throughput, latency, and bandwidth fairness. The repository includes a toolset and Makefile to generate a web-viewable HTML version of the textbook from its source.

Masscan is a command-line network scanner designed for large-scale discovery and infrastructure reconnaissance. It identifies open ports across specific network segments or the entire internet by probing vast address ranges with high efficiency. The tool functions as an asynchronous packet engine, bypassing standard operating system kernel networking stacks to transmit raw packets directly from application memory. The project distinguishes itself through a specialized architecture that manages millions of concurrent connections by separating packet transmission and reception into independent execution threads. It utilizes a stateless, index-based mathematical algorithm to randomize target selection, ensuring probes are distributed unpredictably across address spaces. To maintain consistent performance and prevent network congestion, the scanner employs a high-precision timer to regulate transmission rates and uses zero-copy buffer management to minimize memory overhead. The software provides a platform-agnostic interface for raw network access, allowing it to operate consistently across different hardware and operating system environments. It supports the export of collected reconnaissance data into structured formats such as XML, JSON, or plain text for further analysis. The application is distributed as a portable utility, with its core codebase maintained through standardized string handling and automated testing.

Nmap is a command-line network security scanner and reconnaissance framework designed for infrastructure mapping and security auditing. It functions as a packet crafting utility that probes target systems to identify active hosts, detect open ports, and determine the services and operating systems running on a network. The tool distinguishes itself through its ability to perform raw socket packet injection and stateful connection tracking, allowing it to bypass standard operating system networking stacks. It utilizes an asynchronous concurrency model to manage large-scale network scans and employs specialized packet manipulation techniques to evade firewalls and intrusion detection systems. Beyond basic discovery, the software integrates a scripting engine that enables users to automate complex network tasks, perform deep service interrogation, and conduct vulnerability assessments. It relies on signature-based identification and TCP/IP stack fingerprinting to provide detailed analysis of remote hardware and software configurations.

The OWASP Cheat Sheet Series is a comprehensive, community-driven repository of concise security best practices and defensive coding patterns. It serves as a centralized knowledge base for developers and security professionals, providing actionable guidance to secure applications across the entire software development lifecycle. The project covers a vast array of security domains, ranging from fundamental web application hardening and authentication protocols to specialized controls for modern infrastructure and artificial intelligence systems. What distinguishes this project is its decentralized, collaborative editorial process. By utilizing a version-controlled, markdown-based workflow, the series ensures that security guidance remains vendor-neutral, peer-reviewed, and universally accessible. This structure allows the community to rapidly evolve and maintain technical documentation, ensuring that defensive strategies keep pace with emerging threats and shifting technology stacks. The project provides extensive coverage of critical security areas, including robust input validation, access control enforcement, and supply chain risk management. It offers detailed implementation guides for securing cloud-native architectures, containerized environments, and various language-specific frameworks. Furthermore, the series addresses advanced topics such as artificial intelligence agent safety, prompt injection prevention, and zero-trust architectural principles. The documentation is maintained as an open-source repository, with content transformed into a navigable web format through automated static site generation.

Mitmproxy is an interactive, programmable network proxy engine designed for traffic analysis and protocol manipulation. It functions as a gateway that intercepts, inspects, and modifies network traffic in real-time, supporting HTTP, HTTPS, WebSocket, DNS, and generic TCP or UDP streams. By acting as a trusted certificate authority, the proxy can dynamically generate and sign certificates to decrypt and analyze secure TLS-encrypted connections. The project distinguishes itself through a highly extensible, event-driven architecture that allows users to automate traffic transformation using custom scripts. It provides a unified command-based interface for manual interaction, enabling users to define custom key bindings, content views, and command-line tools. The engine supports multiple operational modes, including explicit, transparent, reverse, and SOCKS proxying, as well as a userspace WireGuard VPN mode for capturing traffic without requiring client-side configuration changes. Beyond basic interception, the platform includes comprehensive tools for recording and replaying network conversations to simulate complex interactions or automate repetitive tasks. It offers advanced capabilities such as request blocking, header and body modification, and local resource mapping. The system also provides robust support for debugging and performance analysis, including integration with external tools through secret logging and structured data representation. The software is designed for rapid iteration, featuring live script reloading that updates custom logic without restarting the proxy process. It includes extensive documentation for managing certificates, configuring proxy modes, and implementing custom addons through a well-defined programmatic interface.

Rustfs is a distributed object storage system designed for high availability and horizontal scalability. It functions as a cluster-based platform that manages data across multiple nodes, providing a self-hosted infrastructure for large-scale storage requirements. The system is built to be container-native, utilizing an operator to automate deployment and management within orchestrated environments. It provides compatibility with standard object storage protocols, allowing existing applications and tools to interact with the storage layer through a translation interface. To ensure long-term reliability, the platform employs erasure-coded redundancy and automated background scrubbing to detect and repair silent data corruption. The architecture supports extensibility through a modular plugin system, enabling custom logic to be integrated into the request pipeline. Security and compliance are prioritized through support for external identity providers, transport layer encryption, and strict data sovereignty controls that operate without external telemetry.

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.

Tengine is an enhanced Nginx web server distribution designed for high-traffic environments. It functions as a high-performance reverse proxy, dynamic load balancer, and HTTP/3 proxy server, integrating an embedded Lua scripting engine to allow for custom business logic and dynamic request processing. The project distinguishes itself through a focus on modern transport protocols and efficiency, featuring native support for QUIC and HTTP/3 to reduce connection latency. It implements userspace UDP forwarding to bypass the kernel for higher throughput and provides the ability to dynamically update routing rules, domains, and TLS protocols without restarting worker processes. The server provides broad capabilities across traffic orchestration, including consistent hashing for load balancing, encrypted traffic proxying via HTTP CONNECT tunneling, and request body filtering. Its operational surface includes upstream health monitoring, asynchronous logging, and the ability to process mixed encrypted and unencrypted traffic on a single port. The project includes a build system for compiling source code into Debian package files for Linux installation.