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An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
Abstract: The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker.
More than 10,000 Docker Hub container images expose data that should be protected, including live credentials to production systems, CI/CD databases, or LLM model keys. The secrets impact a little ...
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