honeyλ - 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
A PoC tool designed to enhance the effectiveness of your traps by spreading breadcrumbs & honeytokens across your systems to lure the attacker toward your honeypots
Designed to be installed on a fresh install of raspbian on a raspberry pi, by combining Respounder (Responder detection) and Artillery (port and service spoofing) for network deception, this tool allows you to detect an attacker on the network quickly by weeding out general noisy alerts with only those that matter.
WebLogic Honeypot is a low interaction honeypot to detect CVE-2017-10271 in the Oracle WebLogic Server component of Oracle Fusion Middleware. This is a Remote Code Execution vulnerability.
MICROS Honeypot is a low interaction honeypot to detect CVE-2018-2636 in the Oracle Hospitality Simphony component of Oracle Hospitality Applications (MICROS). This is a directory traversal vulnerability.
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.
CITapp: a response time-based Concealed Information Test lie detector web application. This method aims to reveal whether or not a certain information detail (e.g. a photo taken from the scene of a recent burglary) is known to the tested person.
