RapiDAST provides a framework for continuous, proactive and fully automated dynamic scanning against web apps/API. Its core engine is OWASP ZAP Proxy (https://owasp.org/www-project-zap/). Taking advantage of the ZAP container, this project provides value as follows: Easy automation(via fully working in CLI with yaml configuration) of API scanning based on OAS definition Create users’ own custom rules via yaml files XML, HTML, JSON report generation podman or docker is required. For podman $ pip3 install podman-compose $ podman pull docker.io/owasp/zap2docker-stable Get […]

run command must be like this: /usr/bin/python3 /home/nmakagonov/Daphny/daphny_counter/Daphny_counter.py -o /home/nmakagonov/Daphny/out.txt –path /media/nmakagonov/DiskD/NN_DATA/daphniacounter/DataForTraining/DataForTraining/MediumPopulation/medium_normal_RawImage/ -st 300 -sp 500where -o :path to the output text file where the counting result will be saved –path path to the directory with daphny-images -st number of the first frame for analysis -sp number of the last frame for analysis GitHub View Github