The JFrog Security Research team has discovered multiple vulnerabilities in open source machine learning (MLOps) platforms used in organizational networks. These vulnerabilities can be exploited to launch real-world attacks against deployed MLOps platforms. MLOps platforms provide the ability to automate the various stages of model development and deployment, similar to traditional DevOps pipelines. These pipelines are usually defined through Python code and can constantly update datasets stored in cloud storage.
