Read-only mirror of Wireshark's Git repository at https://gitlab.com/wireshark/wireshark. You're welcome to submit pull requests there.
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- packet-capture
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Read-only mirror of Wireshark's Git repository at https://gitlab.com/wireshark/wireshark. You're welcome to submit pull requests there.
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Capture website screenshots
Arkime is an open source, large scale, full packet capturing, indexing, and database system.
Audio playback and capture library written in C, in a single source file.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Catch CSS curve balls.
No-root network monitor, firewall and PCAP dumper for Android
Kyanos is a networking analysis tool using eBPF. It can visualize the time packets spend in the kernel, capture requests/responses, makes troubleshooting more efficient.
:zap: Web Debugging Proxy based on Chrome DevTools Network panel.
Any window from your Mac, live on your iPhone or iPad. Touch, Apple Pencil, trackpad and keys. Free, open source, no servers.
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
Source-agnostic distributed change data capture system
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
WinDivert: Windows Packet Divert
the LIBpcap interface to various kernel packet capture mechanism
High-speed packet processing framework
Capture iPhone LiDAR and photos, reconstruct editable Three.js rooms, and explore them in a browser.
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
A small set of tools to convert packets from capture files to hash files for use with Hashcat or John the Ripper.
The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.
⬆️ Media Capture in Swift
A Snapchat Inspired iOS Camera Framework written in Swift
LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and Linux-based devices, such as those powered by Android. The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from Android devices. It also minimizes its interaction between user and kernel space processes during acquisition, which allows it to produce memory captures that are more forensically sound than those of other tools designed for Linux memory acquisition.