KFSensor
KFSensor is an advanced Windows honeypot system that acts as a honeypot to attract and detect hackers and worms by simulating vulnerable system services and trojans. It monitors all TCP and UDP ports, along with ICMP, and can be easily customized to add additional customer services. By responding with an emulation of a real service, KFSensor can reveal the nature of an attack.
FEATURES
ALTERNATIVES
A combination of honeypot, monitoring tool, and alerting system for detecting insecure configurations.
A low-interaction honeypot that simulates network services to detect and monitor potential intrusion attempts on internal networks.
Automated script to install and deploy a honeypot with kippo, dionaea, and p0f on Ubuntu 12.04.
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.
CTIChef.com Detection Feeds
A tiered cyber threat intelligence service providing detection rules from public repositories with varying levels of analysis, processing, and guidance for security teams.
ImmuniWeb® Discovery
ImmuniWeb Discovery is an attack surface management platform that continuously monitors an organization's external digital assets for security vulnerabilities, misconfigurations, and threats across domains, applications, cloud resources, and the dark web.
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.