CVE-2026-24123

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to version 1.4.34, BentoML's `bentofile.yaml` configuration allows path traversal attacks through multiple file path fields (`description`, `docker.setup_script`, `docker.dockerfile_template`, `conda.environment_yml`). An attacker can craft a malicious bentofile that, when built by a victim, exfiltrates arbitrary files from the filesystem into the bento archive. This enables supply chain attacks where sensitive files (SSH keys, credentials, environment variables) are silently embedded in bentos and exposed when pushed to registries or deployed. Version 1.4.34 contains a patch for the issue.

An adversary publishes a popular open-source ML project on GitHub with a crafted bentofile.yaml where the docker.setup_script field contains a path traversal payload pointing to ../../../../home/user/.ssh/id_rsa or a cloud credentials file. A developer or CI/CD pipeline clones the repo and runs bentoml build to package the model for deployment — standard MLOps workflow. BentoML follows the traversal path and silently embeds the SSH private key inside the bento archive without any warning. The team pushes the archive to a shared or public model registry. The adversary pulls the archive and extracts the embedded credential, enabling lateral movement into production infrastructure or cloud environments.