A basic Flask-based Outlook Web App (OWA) honeypot designed for cybersecurity enthusiasts to experiment with OWA-specific threat scenarios. The tool simulates an OWA environment to attract and analyze potential malicious activities, providing valuable insights for defense strategies. To install, clone the GitHub repository, set up a Python3 virtual environment, install dependencies, and run the 'owa_pot.py' script. Caution: Running the honeypot on port 80 is not recommended for internet-facing deployments. For more information, refer to the write-up at https://joda32.github.io/2019/06/11/owa-plus-pastebin.html.
FEATURES
ALTERNATIVES
Building Honeypots for Industrial Networks using Honeyd and simulating SCADA, DCS, and PLC architectures.
SMTP honeypot tool with configurable response messages, email storage, and automatic information extraction.
PINNED

InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.

Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.

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

Check Point CloudGuard WAF
A cloud-native web application and API security solution that uses contextual AI to protect against known and zero-day threats without signature-based detection.

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.

Wiz
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.