Showing 36 of 40 projects
A cross-platform application to comfortably monitor and analyze your Internet traffic with a graphical interface.
A toolkit for creating efficient kernel tracing and manipulation programs using extended BPF (eBPF) on Linux.
A comprehensive manual for mobile app security testing and reverse engineering, aligned with OWASP MASVS and MASWE.
A Python-based interactive packet manipulation program and library for network analysis, scanning, and security testing.
A TypeScript/JavaScript framework for building interactive graph visualization and analysis applications.
A JavaScript library for visualizing large graphs with thousands of nodes and edges using WebGL.
A terminal utility that displays real-time network bandwidth usage by process, connection, and remote IP/hostname.
A terminal UI for tshark, providing Wireshark-like packet analysis directly in the terminal.
A network protocol analyzer that captures and interactively browses traffic running on a computer network.
A Python web mining module with tools for scraping, NLP, machine learning, network analysis, and visualization.
An open-source, large-scale network packet capture, indexing, and analysis system for security and network monitoring.
An open-source, large-scale network packet capture, indexing, and analysis system with a web interface.
A network diagnostic tool combining traceroute and ping for analyzing network issues with a real-time TUI.
A Go library for packet decoding, capture, and network traffic analysis.
An award-winning open-source platform for visualizing and manipulating large graphs and networks.
An open-source platform for visualizing and manipulating large graphs and networks with real-time performance.
A Python package to download, model, analyze, and visualize street networks and geospatial data from OpenStreetMap.
A comprehensive cheat sheet and tool collection for mobile application penetration testing, mapped to OWASP Mobile Top 10 risks.
A curated list of awesome resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
A no-root Android app for monitoring, analyzing, and blocking app network traffic with PCAP export and TLS decryption.
A fast, flexible graph data structure library for Rust with multiple graph types and built-in algorithms.
A curated list of open-source and research tools for capturing, analyzing, and processing network packet captures (PCAP files).
A curated list of open-source tools for capturing, analyzing, and processing network packet captures (PCAP files).
A Network Forensic Analysis Tool (NFAT) for deep inspection of PCAP files and live traffic, extracting credentials, building network maps, and reconstructing sessions.
A portable system-independent C library for user-level network packet capture across multiple platforms.
A multiplatform C++ library for capturing, parsing, and crafting network packets with wrappers for libpcap, DPDK, and PF_RING.
A Linux kernel module and user-space framework for high-speed packet capture and processing with a consistent API.
A collection of userspace utilities for Linux CAN subsystem (SocketCAN) to display, record, generate, and analyze CAN bus traffic.
A free Java library providing mathematical graph-theory objects and algorithms.
Python wrapper for tshark that enables packet parsing using Wireshark's dissectors for both live capture and file analysis.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
A dynamic network analysis tool that intercepts and simulates network services for malware analysis and penetration testing.
A cross-platform terminal UI network monitor providing real-time connection tracking, deep packet inspection, and process attribution.
Distributed tcpdump for cloud native environments, capturing and streaming network packets from multiple hosts to a central receiver.
A suite of network fingerprinting standards for TLS, TCP, HTTP, SSH, and other protocols to facilitate threat detection and security analysis.
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