Vendor
MLflow
89 known vulnerabilities.
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17 results · Clear filters · Feed
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Medium 5.4
MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability
MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability. This vulnerability allows remote attackers to escalate privileges on affected installations of MLflow. Authentication is required to exploit this vulnerability. The specif…
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Medium 6.3
MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability
MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability. This vulnerability allows remote attackers to escalate privileges on affected installations of MLflow. Authentication is required to exploit this vulnerability. The specific flaw…
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Medium 5.4
MLflow Tracking Server Jobs Missing Authorization Information Disclosure Vulnerability
MLflow Tracking Server Jobs Missing Authorization Information Disclosure Vulnerability. This vulnerability allows remote attackers to disclose sensitive information on affected installations of MLflow. Authentication is required to exploit this vulnerability.…
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Medium 6.5
MLflow CrewAI autologging records LLM provider API keys in logged trace spans
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 2.19.0 until 3.17.0, mlflow.crewai.autolog() records CrewAI Agent objects without consistently sanitizing nested credential-bearing values. m…
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Medium 6.5
MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, the scorer invoke, register, and GenAI evaluate endpoints, including unauthenticated POST /ajax-api/3.0/mlflow/scorer…
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Medium 6.5
MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFORE_REQUEST_HANDLERS in the mlflow/server/auth package, allowing any authenticated user to c…
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Medium 6.5
Improper Access Control in mlflow/mlflow
MLflow 3.9.0 with basic-auth (`--app-name basic-auth`) fails to enforce authorization checks for multiple Gateway API 'list' endpoints. Specifically, the `BEFORE_REQUEST_HANDLERS` dictionary in `mlflow/server/auth/__init__.py` does not include entries for `Li…
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Medium 6.5
Authorization Bypass in SearchModelVersions in mlflow/mlflow
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 enumera…
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Medium 5.3
Authorization Bypass in MLflow AJAX Endpoint
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 …
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Medium 5.1
Stored XSS via unsafe YAML parsing in MLflow
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 t…
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Medium 5.9CVE-2025-0453 EPSS 11%
Denial of Service through Batched Queries in GraphQL in mlflow/mlflow
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…
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Medium 5.4
CSRF in mlflow/mlflow
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 malici…
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Medium 5.3
Uncontrolled Resource Consumption in mlflow/mlflow
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 unrespon…
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Medium 5.4
Denial of Service and Data Model Poisoning via URL Encoding in mlflow/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…
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Medium 5.4
Improper Access Control in mlflow/mlflow
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…
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Medium 6.5
Reflected XSS via Content-Type Header in mlflow/mlflow
A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the Content-Type header in POST requests. An attacker can inject malicious JavaScript code into the Content-Type header, which is …
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Medium 5.3
Absolute Path Traversal in mlflow/mlflow
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.2.2.