hpfeeds is a lightweight authenticated publish-subscribe protocol with a simple wire-format allowing users to subscribe to feeds in their favorite language. Feeds are separated by channels supporting arbitrary binary payloads, commonly passing JSON. The project includes a modern Python 3 compatible broker and client, with the core client having no dependencies. Installation is easy with pip, and a command line tail of a channel or publishing events can be done effortlessly. The broker can be run with Docker, storing access keys in an SQLite database.
Port listener / honeypot in Rust with protocol guessing, safe string display and rudimentary SQLite logging.
A private network system utilizing WireGuard for enhanced networking capabilities.
A low-interaction honeypot for detecting and analyzing potential attacks on Android devices via ADB over TCP/IP
A Yara scanner for IMAP feeds and saved streams, extracting attachments and scanning them with chosen Yara rule files.
A set of Go-based emulators for testing network security and analyzing network traffic.
NFStream is a multiplatform Python framework for network flow data analysis with a focus on speed and flexibility.
A textmode sniffer for tracking tcp streams and capturing data in various modes.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.