PT-2025-12315

Name of the Vulnerable Software and Affected Versions mlflow/mlflow version 2.17.2 Description 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, tying up all the workers...

MLflow 安全漏洞

MLflow is an open source platform from MLflow that simplifies machine learning development, including tracking experiments, packaging code into repeatable runs, and sharing and deploying models. A security vulnerability exists in MLflow version 2.17.2, which stems from a possible denial-of-servic...

PT-2025-12247

Name of the Vulnerable Software and Affected Versions mlflow/mlflow version 2.15.1 Description A path traversal issue exists when users configure and use the dbfs service. The vulnerability arises from directly concatenating the URL into the file protocol, resulting in an arbitrary file read issu...

MLflow 安全漏洞

MLflow is an open source platform from MLflow that simplifies machine learning development, including tracking experiments, packaging code into repeatable runs, and sharing and deploying models. A security vulnerability exists in MLflow version 2.15.1, which stems from a misconfiguration of the...

PT-2025-12167

Name of the Vulnerable Software and Affected Versions mlflow/mlflow version v2.13.2 Description A potential denial of service issue exists due to the lack of a limit on the experiment name, allowing the creation or renaming of an experiment with a large number of integers in its name. This can...

MLflow 安全漏洞

MLflow is an open source platform from MLflow that simplifies machine learning development, including tracking experiments, packaging code into repeatable runs, and sharing and deploying models. A security vulnerability exists in MLflow version v2.13.2, which stems from an unrestricted experiment...

PT-2025-7512

Name of the Vulnerable Software and Affected Versions mlflow/mlflow versions 2.17.0 through 2.20.1 Description A Cross-Site Request Forgery CSRF issue exists in the Signup feature. This allows an attacker to create a new account, which can be used to perform unauthorized actions on behalf of the...

CVE-2024-3848

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...

CVE-2024-3573

mlflow/mlflow is vulnerable to Local File Inclusion LFI due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'islocaluri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the...

CVE-2024-1594

A path traversal vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the artifactlocation parameter when creating an experiment. Attackers can exploit this vulnerability by using a fragment component in the artifact location URI to read arbitrary files on the...

CVE-2024-1593

A path traversal vulnerability exists in the mlflow/mlflow repository due to improper handling of URL parameters. By smuggling path traversal sequences using the ';' character in URLs, attackers can manipulate the 'params' portion of the URL to gain unauthorized access to files or directories. Th...

CVE-2024-1483

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 'artifactlocation' and 'source' parameters, using a local URI with '' instead of '?', an attacker can...

CVE-2024-27132

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables...

CVE-2024-27133

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...

CVE-2024-37057

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-2024-37053

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-2024-0520

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.httpdatasetsource.py module. Specifically, when loading a dataset from a source URL with an HTTP...

BIT-MLFLOW-2024-1483 Path Traversal Vulnerability in mlflow/mlflow

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 'artifactlocation' and 'source' parameters, using a local URI with '' instead of '?', an attacker can...

BIT-MLFLOW-2024-1560 Path Traversal Vulnerability in mlflow/mlflow

A path traversal vulnerability exists in the mlflow/mlflow repository, specifically within the artifact deletion functionality. Attackers can bypass path validation by exploiting the double decoding process in the deleteartifactmlflowartifacts handler and localfileuritopath function, allowing for...

BIT-MLFLOW-2024-1593 Path Traversal via Parameter Smuggling in mlflow/mlflow

A path traversal vulnerability exists in the mlflow/mlflow repository due to improper handling of URL parameters. By smuggling path traversal sequences using the ';' character in URLs, attackers can manipulate the 'params' portion of the URL to gain unauthorized access to files or directories. Th...