PT-2026-59307

MLflow Tracking Server Artifact Handler 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. The specific fla...

PT-2026-59306

In the latest version of mlflow/mlflow, when the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with NO PERMISSIONS on the experiment, to read trace information and create assessments for...

PT-2026-59309

In mlflow/mlflow versions up to 3.9.0, the SearchModelVersions REST API endpoint and the mlflowSearchModelVersions GraphQL query lack proper per-model authorization checks when basic authentication is enabled. This allows any authenticated user to enumerate all model versions across all registere...

CVE-2026-8147

A flaw was found in MLflow. When authentication is enabled, any authenticated user can bypass experiment-level authorization controls on trace API endpoints. This is due to missing authorization validators, allowing unauthorized reading, deleting, and modifying of traces. This vulnerability can...

mlflow Creates of Temporary File in Directory with Insecure Permissions

In mlflow version 2.20.3, the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions 0o777. This vulnerability allows an attacker with write access to the /tmp directory to exploit a race condition and overwrite .py files in the virtual...

PYSEC-2026-1639 mlflow Creates of Temporary File in Directory with Insecure Permissions

In mlflow version 2.20.3, the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions 0o777. This vulnerability allows an attacker with write access to the /tmp directory to exploit a race condition and overwrite .py files in the virtual...

MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation

MLFlow versions up to and including 3.4.0 are vulnerable to DNS rebinding attacks due to a lack of Origin header validation in the MLFlow REST server. This vulnerability allows malicious websites to bypass Same-Origin Policy protections and execute unauthorized calls against REST endpoints. An...

PYSEC-2026-1640 MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability

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. The specific flaw...

MLflow Weak Password Requirements Authentication Bypass Vulnerability

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 handling of passwords. T...

MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability

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.The specific flaw...

PYSEC-2026-1642 MLflow Weak Password Requirements Authentication Bypass Vulnerability

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 handling of passwords...

PYSEC-2026-1646 MLflow Cross-Site Request Forgery (CSRF) vulnerability

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...

PYSEC-2026-1637 MLflow Uncontrolled Resource Consumption vulnerability

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 application unable to...

MLflow Uncontrolled Resource Consumption vulnerability

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 application unable to...

MLflow Cross-Site Request Forgery (CSRF) vulnerability

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...

PYSEC-2026-1638 MLflow has a Local File Read/Path Traversal in dbfs

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 checked, while...

PYSEC-2026-1658 MLflow Uncontrolled Resource Consumption vulnerability

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 potential denial of...

MLflow Uncontrolled Resource Consumption vulnerability

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 potential denial of...

MLFlow unsafe deserialization

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...

Undefined Behavior in mlflow

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 different model each time...