Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learningThere is no fixed version for mlflow
.
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Improper Control of Generation of Code ('Code Injection') via the _run_entry_point
function in the projects/backend/local.py
file. An attacker can execute arbitrary code on the victim's system by submitting a maliciously crafted MLproject file.
name: RecipeTestingProject
conda_env: conda.yaml
entry_points:
main:
command: "python -c 'import os; os.system(\"ping -c 4 8.8.8.8\")'"