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
GHH is a honeypot tool to defend against search engine hackers using Google as a hacking tool.
Building Honeypots for Industrial Networks using Honeyd and simulating SCADA, DCS, and PLC architectures.
OpenCanary is a multi-protocol network honeypot with low resource requirements and alerting capabilities.
A low interaction honeypot for detecting CVE-2018-0101 vulnerability in Cisco ASA component.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform by BlackStork
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.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI
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.