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CVE-2023-6018 is an unauthenticated arbitrary file write vulnerability in MLflow's artifact handling. The flaw is described as a path traversal issue in artifact handling that allows an attacker to overwrite arbitrary files on the server hosting MLflow. By supplying crafted path input during artifact-related operations, an attacker can escape the intended storage location and cause MLflow to write attacker-controlled content to files elsewhere on the server filesystem.
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1 valid exploit after Mallory filtered fakes, detection scripts, and README-only repos.
This three-file repository contains an MIT license, a detailed README, and one Python entry-point script, mlflow_pickle_rce.py. It is an operational, API-driven proof of concept for MLflow model-registry pickle deserialization leading to remote code execution, described as CVE-2024-37054-style and referencing CVE-2023-6015, CVE-2023-6018, and CVE-2024-37054. The script uses requests with HTTP Basic authentication to test MLflow API access, create or reuse a registered model, create an experiment run, upload an MLmodel manifest and malicious model.pkl, register a model version referencing those artifacts, and optionally transition the version to Production. The pickle executes os.system during unpickling and starts a Python reverse shell to configurable callback parameters. It does not identify a target model automatically or trigger model loading; a separate MLflow UI/API action, prediction service, or scheduled client job must load the registered model for execution to occur. Defaults include admin:password credentials, experiment ID 0, Production stage, and callback port 4444.
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2 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
An MLflow arbitrary file write vulnerability involving artifact handling path traversal, cited only as historical background.
An arbitrary file write vulnerability in MLflow artifact handling mentioned as part of vendor security history.
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Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.