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CVE-2024-27133

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Date: February 23, 2024

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

Language: Python

Severity Score

Related Resources (8)

https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b
https://github.com/mlflow/mlflow
https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1
https://nvd.nist.gov/vuln/detail/CVE-2024-27133
https://github.com/mlflow/mlflow/pull/10893
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932
https://www.mend.io/vulnerability-database/CVE-2024-27133

Severity Score

Weakness Type (CWE)

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

CWE-79

Top Fix

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Upgrade to version mlflow - 2.7.0;mlflow - 2.1.1;mlflow - 2.3.2;mlflow - 2.10.0

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): HIGH
Privileges Required (PR): NONE
User Interaction (UI): REQUIRED
Scope (S): UNCHANGED
Confidentiality (C): HIGH
Integrity (I): HIGH
Availability (A): HIGH

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