PT-2024-27276

Name of the Vulnerable Software and Affected Versions MLflow platform versions 1.27.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run. Recommendations For MLflow platform...

PT-2024-27268

Name of the Vulnerable Software and Affected Versions MLflow versions 1.1.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user's system when interacted with. Recommendations For MLflow...

PT-2024-27277

Name of the Vulnerable Software and Affected Versions MLflow platform versions 1.11.0 and newer Description Remote Code Execution can occur in the MLflow platform, enabling a maliciously crafted MLproject to execute arbitrary code on an end user’s system when run, due to unfiltered input...

PT-2024-27274

Name of the Vulnerable Software and Affected Versions MLflow versions 0.5.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user's system when interacted with. Recommendations For MLflow versio...

CVE-2024-37061: Improper Control of Generation of Code

Remote Code Execution can occur in versions of the MLflow platform running version 1.11.0 or newer, enabling a maliciously crafted MLproject to execute arbitrary code on an end user’s system when run...

CVE-2024-37060: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run...

CVE-2024-37059: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37058: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37057: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37056: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37055: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37054: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37053: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...

CVE-2024-37052: Deserialization of Untrusted Data

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...

GHSA-9WX4-H78V-VM56 vulnerabilities

Vulnerabilities for packages: kubeflow-volumes-web-app, py3-cassandra-medusa, mlflow, request-1276, confluent-docker-utils, checkov, py3-pipenv, apache-beam-python-3.11-sdk, nvidia-nsight-compute-13.2, reflex, kubeflow-pipelines, ggshield, kubeflow-pipelines-visualization-server, jwt-tool, patron...

Improper Access Control

mlflow is vulnerable to Improper Access Control. The vulnerability is due to improper validation of DELETE requests by users with EDIT permissions, allowing unauthorized deletions of artifacts...

Path Traversal

mlflow is vulnerable to Path Traversal. The vulnerability is due to improper validation of artifact URLs, particularly in handling the fragment part of the URL. Attackers can exploit this by inserting a 'character, allowing the artifact to bypass validation, resulting an arbitrary file access on...

GHSA-P4JX-Q62P-X5JR MLflow allows low privilege users to delete any artifact

A broken access control vulnerability exists in mlflow/mlflow versions before 2.10.1, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises due to the lack of proper validation for DELETE requests by users with EDIT permissions, allowing...

MLflow has a Local File Read/Path Traversal bypass

A path traversal vulnerability exists in mlflow/mlflow version 2.11.0, identified as a bypass for the previously addressed CVE-2023-6909. The vulnerability arises from the application's handling of artifact URLs, where a '' character can be used to insert a path into the fragment, effectively...

GHSA-RFQQ-WQ6W-72JM MLflow has a Local File Read/Path Traversal bypass

A path traversal vulnerability exists in mlflow/mlflow version 2.11.0, identified as a bypass for the previously addressed CVE-2023-6909. The vulnerability arises from the application's handling of artifact URLs, where a '' character can be used to insert a path into the fragment, effectively...