#Deception
Showing 21 of 21 repositories tagged #deception, ranked by stars
๐ฏ T-Pot - The All In One Multi Honeypot Platform ๐
Cowrie SSH/Telnet Honeypot https://docs.cowrie.org/
A secure low code deception runtime framework, leveraging AI for System Virtualization.
Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.
honeyฮป - a simple, serverless application designed to create and monitor fake HTTP endpoints (i.e. URL honeytokens) automatically, on top of AWS Lambda and Amazon API Gateway
OWASP Honeypot, Automated Deception Framework.
๐ A highly scalable, safe, free enterprise honeypots ไธๆฌพ้ซๅฏๆฉๅฑใๅฎๅ จใๅ ่ดน็ไผไธ็บง่็ฝ็ณป็ป
DejaVU - Open Source Deception Framework
Credentials catching honeypot
An awesome collection of articles, papers, conferences, guides, and tools relating to deception in cybersecurity.
Add a layer of active defense to your cloud applications.
Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
Automation tool for Windows Deception Host Burn-In
๐ T-Pot Mobile - The All In One Wireless Honeypot Solution ๐ฏ
Cowrie Docker GitHub repository
Interactive, dynamic, and realistic LLM honeypots
MITRE Engageโข is a framework for conducting Denial, Deception, and Adversary Engagements.
A Heroku-based web honeypot that can be used to create and monitor fake HTTP endpoints (i.e. honeytokens).
Distributed Honeypot
Honeypot for file uploads. Written in Go.
High-performance stealth redirector and deception gateway. Traffic filtering with GeoIP, ASN, rate limiting, and boolean rule logic. Reverse proxy with health checks, load balancing, decoys, and tarpit responses.