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16 vulnerabilities found for MLflow by MLflow
CVE-2026-33866 (GCVE-0-2026-33866)
Vulnerability from cvelistv5
Published
2026-04-07 12:57
Modified
2026-04-14 15:12
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-862 - Missing Authorization
Summary
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 not authorized to access.
This issue affects MLflow version through 3.10.1
References
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CVE-2026-33865 (GCVE-0-2026-33865)
Vulnerability from cvelistv5
Published
2026-04-07 12:57
Modified
2026-04-14 15:13
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Summary
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 UI. This allows actions such as session hijacking or performing operations on behalf of the victim.
This issue affects MLflow version through 3.10.1
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CVE-2026-2635 (GCVE-0-2026-2635)
Vulnerability from cvelistv5
Published
2026-02-20 22:25
Modified
2026-02-27 04:55
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1393 - Use of Default Password
Summary
MLflow Use of Default Password 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 basic_auth.ini file. The file contains hard-coded default credentials. An attacker can leverage this vulnerability to bypass authentication and execute arbitrary code in the context of the administrator. Was ZDI-CAN-28256.
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CVE-2026-2033 (GCVE-0-2026-2033)
Vulnerability from cvelistv5
Published
2026-02-20 22:12
Modified
2026-02-26 14:44
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
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 flaw exists within the handling of artifact file paths. The issue results from the lack of proper validation of a user-supplied path prior to using it in file operations. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-26649.
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
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Impacted products
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CVE-2025-11200 (GCVE-0-2025-11200)
Vulnerability from cvelistv5
Published
2025-10-29 19:42
Modified
2026-02-26 16:56
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-521 - Weak Password Requirements
Summary
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. The issue results from weak password requirements. An attacker can leverage this vulnerability to bypass authentication on the system. Was ZDI-CAN-26916.
References
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CVE-2025-11201 (GCVE-0-2025-11201)
Vulnerability from cvelistv5
Published
2025-10-29 19:37
Modified
2026-02-26 16:56
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
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 exists within the handling of model file paths. The issue results from the lack of proper validation of a user-supplied path prior to using it in file operations. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-26921.
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CVE-2024-37061 (GCVE-0-2024-37061)
Vulnerability from cvelistv5
Published
2024-06-04 12:02
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Summary
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.
References
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CVE-2024-37060 (GCVE-0-2024-37060)
Vulnerability from cvelistv5
Published
2024-06-04 12:02
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37059 (GCVE-0-2024-37059)
Vulnerability from cvelistv5
Published
2024-06-04 12:01
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37058 (GCVE-0-2024-37058)
Vulnerability from cvelistv5
Published
2024-06-04 12:01
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37057 (GCVE-0-2024-37057)
Vulnerability from cvelistv5
Published
2024-06-04 12:01
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37056 (GCVE-0-2024-37056)
Vulnerability from cvelistv5
Published
2024-06-04 12:01
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37055 (GCVE-0-2024-37055)
Vulnerability from cvelistv5
Published
2024-06-04 12:00
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37054 (GCVE-0-2024-37054)
Vulnerability from cvelistv5
Published
2024-06-04 12:00
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37053 (GCVE-0-2024-37053)
Vulnerability from cvelistv5
Published
2024-06-04 12:00
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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CVE-2024-37052 (GCVE-0-2024-37052)
Vulnerability from cvelistv5
Published
2024-06-04 11:59
Modified
2024-08-02 03:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Summary
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.
References
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