PcapXray is a network forensics tool designed to visualize a packet capture offline as a network diagram, highlighting important communication, device identification, and file extraction. The tool aims to speed up the investigation process by providing a detailed network diagram with features such as web traffic details, Tor traffic identification, possible malicious traffic, and data obtained from packets.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
A tool that uses Plaso to parse forensic artifacts and disk images, creating custom reports for easier analysis.
Easy-to-use live forensics toolbox for Linux endpoints with various capabilities such as process inspection, memory analysis, and YARA scanning.
A forensic tool to find hidden processes and TCP/UDP ports by rootkits or other hidden techniques.
LiME is a Linux Memory Extractor tool for acquiring volatile memory from Linux and Linux-based devices, including Android, with features like full memory captures and minimal process footprint.
A framework/scripting tool to standardize and simplify the process of scripting favorite Live Acquisition utilities for Incident Responders.
Visually inspect regex matches in binary data/text with YARA and regular expressions, displaying matched bytes and surrounding context.
A DFVFS backed viewer project with a WxPython GUI, aiming to enhance file extraction and viewing capabilities.
PINNED

Mandos
Fractional CISO service that helps B2B companies implement security leadership to win enterprise deals, achieve compliance, and develop strategic security programs.

Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.

Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.

DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.