Honeypots & Deception for Threat Detection
Task: Threat Detection
Explore 17 curated cybersecurity tools, with 14,275 visitors searching for solutions
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Deception-based detection engine integrated into LMNTRIX XDR platform
Deception-based detection engine integrated into LMNTRIX XDR platform
AI-powered deception platform using honeypots to detect & disrupt attacks
AI-powered deception platform using honeypots to detect & disrupt attacks
Cloud-native deception platform deploying dynamic security canaries
Cloud-native deception platform deploying dynamic security canaries
An open-source OSINT honeypot that monitors threat actor reconnaissance attempts and generates early-warning intelligence for blue teams during the pre-attack phase.
An open-source OSINT honeypot that monitors threat actor reconnaissance attempts and generates early-warning intelligence for blue teams during the pre-attack phase.
GridPot is a honeypot framework that combines GridLAB-D, Conpot, and libiec61850 to simulate industrial control systems and detect attacks on power grid infrastructure.
GridPot is a honeypot framework that combines GridLAB-D, Conpot, and libiec61850 to simulate industrial control systems and detect attacks on power grid infrastructure.
A serverless application that creates and monitors fake HTTP endpoints as honeytokens to detect attackers, malicious insiders, and automated threats.
A serverless application that creates and monitors fake HTTP endpoints as honeytokens to detect attackers, malicious insiders, and automated threats.
HoneyDB is a honeypot-based threat intelligence platform that provides real-time insights into attacker behavior and malicious activity on networks.
HoneyDB is a honeypot-based threat intelligence platform that provides real-time insights into attacker behavior and malicious activity on networks.
A Go-based honeypot that mimics Intel's AMT management service to detect and log exploitation attempts targeting the CVE-2017-5689 firmware vulnerability.
A Go-based honeypot that mimics Intel's AMT management service to detect and log exploitation attempts targeting the CVE-2017-5689 firmware vulnerability.
Ghost USB Honeypot emulates USB storage devices to detect and analyze malware that spreads via USB without requiring prior threat intelligence.
Ghost USB Honeypot emulates USB storage devices to detect and analyze malware that spreads via USB without requiring prior threat intelligence.
A honeypot system designed to detect and analyze potential security threats
A honeypot system designed to detect and analyze potential security threats
A crawler-based low-interaction client honeypot for exposing website threats.
A crawler-based low-interaction client honeypot for exposing website threats.
A honeypot agent for running honeypots with service and data at threatwar.com.
A honeypot agent for running honeypots with service and data at threatwar.com.
KFSensor is an advanced Windows honeypot system for detecting hackers and worms by simulating vulnerable system services.
KFSensor is an advanced Windows honeypot system for detecting hackers and worms by simulating vulnerable system services.
An Ansible role that automates the deployment and management of Bifrozt honeypots for network security monitoring.
An Ansible role that automates the deployment and management of Bifrozt honeypots for network security monitoring.
A printer honeypot PoC that simulates a printer on a network to detect and analyze potential attackers.
A printer honeypot PoC that simulates a printer on a network to detect and analyze potential attackers.
A plugin repository that extends the Honeycomb honeypot framework with additional features and capabilities for enhanced threat detection and analysis.
A plugin repository that extends the Honeycomb honeypot framework with additional features and capabilities for enhanced threat detection and analysis.
Ensnare is a Ruby on Rails gem that deploys honey traps and automated responses to detect and interfere with malicious behavior in web applications.
Ensnare is a Ruby on Rails gem that deploys honey traps and automated responses to detect and interfere with malicious behavior in web applications.