VYPR

Mlflow

by Mlflow

pypi: mlflow

Source repositories

CVEs (76)

  • CVE-2026-33865MedApr 7, 2026
    risk 0.28cvss 5.4epss 0.00

    MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes when another user views the artifact in the…

  • CVE-2026-33866MedApr 7, 2026
    risk 0.21cvss 4.3epss 0.00

    MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint used to download saved model artifacts. Due to missing access‑control validation, a user without permissions to a given experiment can directly query this endpoint and retrieve model artifacts they are…

  • CVE-2026-10803LowJun 4, 2026
    risk 0.16cvss 3.6epss 0.00

    A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local…

  • CVE-2024-1483Apr 16, 2024
    risk 0.06cvss epss 0.03

    A path traversal vulnerability exists in mlflow/mlflow version 2.9.2, allowing attackers to access arbitrary files on the server. By crafting a series of HTTP POST requests with specially crafted 'artifact_location' and 'source' parameters, using a local URI with '#' instead of…

  • CVE-2023-43472Dec 5, 2023
    risk 0.06cvss epss 0.37

    An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API.

  • CVE-2025-15031Mar 18, 2026
    risk 0.00cvss epss 0.01

    A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape…

  • CVE-2025-11200Oct 29, 2025
    risk 0.00cvss epss 0.01

    MLflow Weak Password Requirements Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the…

  • CVE-2025-11201Oct 29, 2025
    risk 0.00cvss epss 0.27

    MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability. …

  • CVE-2025-0453Mar 20, 2025
    risk 0.00cvss epss 0.01

    In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the…

  • CVE-2025-1474Mar 20, 2025
    risk 0.00cvss epss 0.00

    In mlflow/mlflow version 2.18, an admin is able to create a new user account without setting a password. This vulnerability could lead to security risks, as accounts without passwords may be susceptible to unauthorized access. Additionally, this issue violates best practices for…

  • CVE-2025-1473Mar 20, 2025
    risk 0.00cvss epss 0.00

    A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.

  • CVE-2024-8859Mar 20, 2025
    risk 0.00cvss epss 0.03

    A path traversal vulnerability exists in mlflow/mlflow version 2.15.1. When users configure and use the dbfs service, concatenating the URL directly into the file protocol results in an arbitrary file read vulnerability. This issue occurs because only the path part of the URL is…

  • CVE-2024-6838Mar 20, 2025
    risk 0.00cvss epss 0.01

    In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a…

  • CVE-2024-27134Nov 25, 2024
    risk 0.00cvss epss 0.00

    Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.

  • CVE-2024-2928Jun 6, 2024
    risk 0.00cvss epss 0.22

    A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure to properly validate URI fragments for directory traversal sequences such as…

  • CVE-2024-0520Jun 6, 2024
    risk 0.00cvss epss 0.02

    A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a…

  • CVE-2024-3099Jun 6, 2024
    risk 0.00cvss epss 0.00

    A vulnerability in mlflow/mlflow version 2.11.1 allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service (DoS) as an authenticated user might not be able to use the intended model, as it will open a…

  • CVE-2024-37061Jun 4, 2024
    risk 0.00cvss epss 0.01

    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-2024-37060Jun 4, 2024
    risk 0.00cvss epss 0.01

    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-2024-37059Jun 4, 2024
    risk 0.00cvss epss 0.01

    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.