Comprehensive solutions for securing network infrastructure, traffic, and communications. Task: Packet Analysis
Explore 11 curated tools and resources
LogRhythm NetMon is a network traffic analytics tool that provides real-time visibility, automated threat detection, and investigation capabilities for organizational networks.
Open source software for leveraging insights from flow and packet analysis to identify potential security threats or attacks.
A foundational guide for using deception against computer network adversaries using honeypots to detect adversaries before they accomplish their goals.
A tool that reads IP packets from the network or a tcpdump save file and writes an ASCII summary of the packet data.
Zeek Remote desktop fingerprinting script for fingerprinting Remote Desktop clients.
A multiplatform C++ library for capturing, parsing, and crafting network packets with support for various network protocols.
Snort is an open source intrusion prevention system that uses rules to detect and prevent malicious network activity.
A powerful command-line packet analyzer and a portable C/C++ library for network traffic capture with comprehensive documentation.
Stenographer is a high-performance full-packet-capture utility for intrusion detection and incident response purposes.
Netis Cloud Probe is an open source project for capturing and analyzing network packets across different machines.
Monitors network traffic for suspicious activity and alerts when potential threats are detected.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.