Vulnerabilites related to lfprojects - mlflow
CVE-2024-1594 (GCVE-0-2024-1594)
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-01 18:48
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
A path traversal vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the `artifact_location` 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 server in the context of the server's process. This issue is similar to CVE-2023-6909 but utilizes a different component of the URI to achieve the same effect.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2023-4033 (GCVE-0-2023-4033)
Vulnerability from cvelistv5
Published
2023-08-01 00:00
Modified
2024-10-15 14:13
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command
Summary
OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.6.0 |
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CVE-2024-27134 (GCVE-0-2024-27134)
Vulnerability from cvelistv5
Published
2024-11-25 13:48
Modified
2024-11-25 14:23
Severity ?
VLAI Severity ?
EPSS score ?
CWE
Summary
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.
References
| ► | URL | Tags |
|---|---|---|
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CVE-2023-6974 (GCVE-0-2023-6974)
Vulnerability from cvelistv5
Published
2023-12-20 05:25
Modified
2024-08-02 08:50
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Summary
A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it could be abuse to get a remote code execution on the victim machine.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2023-6018 (GCVE-0-2023-6018)
Vulnerability from cvelistv5
Published
2023-11-16 16:05
Modified
2024-08-02 08:21
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command
Summary
An attacker can overwrite any file on the server hosting MLflow without any authentication.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2023-6977 (GCVE-0-2023-6977)
Vulnerability from cvelistv5
Published
2023-12-20 05:37
Modified
2024-08-02 08:50
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
This vulnerability enables malicious users to read sensitive files on the server.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2025-0453 (GCVE-0-2025-0453)
Vulnerability from cvelistv5
Published
2025-03-20 10:11
Modified
2025-03-20 15:51
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-400 - Uncontrolled Resource Consumption
Summary
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 respond to other requests. This vulnerability is due to uncontrolled resource consumption.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2024-3099 (GCVE-0-2024-3099)
Vulnerability from cvelistv5
Published
2024-06-06 18:08
Modified
2024-08-01 19:32
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-475 - Undefined Behavior for Input to API
Summary
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. Additionally, an attacker can exploit this vulnerability to perform data model poisoning by creating a model with the same name, potentially causing an authenticated user to become a victim by using the poisoned model. The issue stems from inadequate validation of model names, allowing for the creation of models with URL-encoded names that are treated as distinct from their URL-decoded counterparts.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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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-2024-37052 (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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CVE-2023-3765 (GCVE-0-2023-3765)
Vulnerability from cvelistv5
Published
2023-07-19 00:53
Modified
2024-10-24 18:25
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-36 - Absolute Path Traversal
Summary
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.5.0 |
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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-2024-37053 (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-2023-2780 (GCVE-0-2023-2780)
Vulnerability from cvelistv5
Published
2023-05-17 00:00
Modified
2025-01-22 18:03
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.3.1.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.3.1 |
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CVE-2023-1176 (GCVE-0-2023-1176)
Vulnerability from cvelistv5
Published
2023-03-24 00:00
Modified
2025-02-19 20:58
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-36 - Absolute Path Traversal
Summary
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.2.2.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.2.2 |
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CVE-2023-6909 (GCVE-0-2023-6909)
Vulnerability from cvelistv5
Published
2023-12-18 00:00
Modified
2024-08-02 08:42
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2022-0736 (GCVE-0-2022-0736)
Vulnerability from cvelistv5
Published
2022-02-23 08:45
Modified
2024-08-02 23:40
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-377 - Insecure Temporary File
Summary
Insecure Temporary File in GitHub repository mlflow/mlflow prior to 1.23.1.
References
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|---|---|---|---|---|---|---|---|---|
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Impacted products
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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-2024-8859 (GCVE-0-2024-8859)
Vulnerability from cvelistv5
Published
2025-03-20 10:09
Modified
2025-03-20 18:33
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
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 parts such as query and parameters are not handled. The vulnerability is triggered if the user has configured the dbfs service, and during usage, the service is mounted to a local directory.
References
Impacted products
| Vendor | Product | Version | ||
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| mlflow | mlflow/mlflow |
Version: unspecified < 2.17.0 |
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CVE-2024-6838 (GCVE-0-2024-6838)
Vulnerability from cvelistv5
Published
2025-03-20 10:09
Modified
2025-03-20 14:25
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-400 - Uncontrolled Resource Consumption
Summary
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 service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.
References
Impacted products
| Vendor | Product | Version | ||
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| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2025-1474 (GCVE-0-2025-1474)
Vulnerability from cvelistv5
Published
2025-03-20 10:10
Modified
2025-03-20 18:22
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-521 - Weak Password Requirements
Summary
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 secure user account management. The issue is fixed in version 2.19.0.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.19.0 |
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CVE-2023-2356 (GCVE-0-2023-2356)
Vulnerability from cvelistv5
Published
2023-04-28 00:00
Modified
2025-01-30 20:48
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-23 - Relative Path Traversal
Summary
Relative Path Traversal in GitHub repository mlflow/mlflow prior to 2.3.1.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.3.1 |
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CVE-2023-6014 (GCVE-0-2023-6014)
Vulnerability from cvelistv5
Published
2023-11-16 21:07
Modified
2024-09-04 20:22
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-598 - Use of GET Request Method With Sensitive Query Strings
Summary
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2024-3573 (GCVE-0-2024-3573)
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-01 20:12
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
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 'is_local_uri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted 'source' parameters, enabling the reading of sensitive files within at least two directory levels from the server's root.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.10.0 |
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CVE-2025-1473 (GCVE-0-2025-1473)
Vulnerability from cvelistv5
Published
2025-03-20 10:10
Modified
2025-03-20 18:22
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Summary
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.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.20.2 |
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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-2023-6753 (GCVE-0-2023-6753)
Vulnerability from cvelistv5
Published
2023-12-13 00:00
Modified
2024-10-08 14:30
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2025-52967 (GCVE-0-2025-52967)
Vulnerability from cvelistv5
Published
2025-06-23 00:00
Modified
2025-06-23 20:12
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Summary
gateway_proxy_handler in MLflow before 3.1.0 lacks gateway_path validation.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| lfprojects | MLflow |
Version: 0 ≤ |
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CVE-2024-4263 (GCVE-0-2024-4263)
Vulnerability from cvelistv5
Published
2024-05-16 09:03
Modified
2024-08-01 20:33
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-284 - Improper Access Control
Summary
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 users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts. The vulnerability specifically affects the handling of artifact deletions within the application, as demonstrated by the ability of a low privilege user to delete a directory inside an artifact using a DELETE request, despite the official documentation stating that users with EDIT permission can only read and update artifacts, not delete them.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.10.1 |
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CVE-2023-1177 (GCVE-0-2023-1177)
Vulnerability from cvelistv5
Published
2023-03-24 00:00
Modified
2025-02-19 20:56
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.2.1 |
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CVE-2023-43472 (GCVE-0-2023-43472)
Vulnerability from cvelistv5
Published
2023-12-05 00:00
Modified
2024-08-02 19:44
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- n/a
Summary
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.
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-2024-27133 (GCVE-0-2024-27133)
Vulnerability from cvelistv5
Published
2024-02-23 22:00
Modified
2024-08-22 18:01
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
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.
References
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CVE-2024-2928 (GCVE-0-2024-2928)
Vulnerability from cvelistv5
Published
2024-06-06 18:29
Modified
2024-08-01 19:32
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
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 '../'. An attacker can exploit this flaw by manipulating the fragment part of the URI to read arbitrary files on the local file system, including sensitive files like '/etc/passwd'. The vulnerability is a bypass to a previous patch that only addressed similar manipulation within the URI's query string, highlighting the need for comprehensive validation of all parts of a URI to prevent LFI attacks.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.11.3 |
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CVE-2023-6709 (GCVE-0-2023-6709)
Vulnerability from cvelistv5
Published
2023-12-12 04:05
Modified
2024-10-08 19:52
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Summary
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2023-6015 (GCVE-0-2023-6015)
Vulnerability from cvelistv5
Published
2023-11-16 16:06
Modified
2024-08-02 08:21
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
MLflow allowed arbitrary files to be PUT onto the server.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2023-6568 (GCVE-0-2023-6568)
Vulnerability from cvelistv5
Published
2023-12-07 04:54
Modified
2024-08-02 08:35
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
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 then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.0 |
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CVE-2023-6940 (GCVE-0-2023-6940)
Vulnerability from cvelistv5
Published
2023-12-19 01:41
Modified
2025-05-07 20:26
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
Summary
with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2024-3848 (GCVE-0-2024-3848)
Vulnerability from cvelistv5
Published
2024-05-16 09:03
Modified
2024-08-01 20:26
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
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 skipping validation. This allows an attacker to construct a URL that, when processed, ignores the protocol scheme and uses the provided path for filesystem access. As a result, an attacker can read arbitrary files, including sensitive information such as SSH and cloud keys, by exploiting the way the application converts the URL into a filesystem path. The issue stems from insufficient validation of the fragment portion of the URL, leading to arbitrary file read through path traversal.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.12.1 |
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CVE-2024-1560 (GCVE-0-2024-1560)
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-09 20:00
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
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 `_delete_artifact_mlflow_artifacts` handler and `local_file_uri_to_path` function, allowing for the deletion of arbitrary directories on the server's filesystem. This vulnerability is due to an extra unquote operation in the `delete_artifacts` function of `local_artifact_repo.py`, which fails to properly sanitize user-supplied paths. The issue is present up to version 2.9.2, despite attempts to fix a similar issue in CVE-2023-6831.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2024-1483 (GCVE-0-2024-1483)
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-01 18:40
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
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 '?', an attacker can traverse the server's directory structure. The issue occurs due to insufficient validation of user-supplied input in the server's handlers.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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CVE-2024-27132 (GCVE-0-2024-27132)
Vulnerability from cvelistv5
Published
2024-02-23 21:58
Modified
2024-08-14 15:28
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
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.
References
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CVE-2023-30172 (GCVE-0-2023-30172)
Vulnerability from cvelistv5
Published
2023-05-11 00:00
Modified
2025-01-27 16:51
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- n/a
Summary
A directory traversal vulnerability in the /get-artifact API method of the mlflow platform up to v2.0.1 allows attackers to read arbitrary files on the server via the path parameter.
References
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CVE-2023-6831 (GCVE-0-2023-6831)
Vulnerability from cvelistv5
Published
2023-12-15 00:00
Modified
2024-08-02 08:42
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2023-6975 (GCVE-0-2023-6975)
Vulnerability from cvelistv5
Published
2023-12-20 05:26
Modified
2024-08-02 08:50
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-29 - Path Traversal: '\..\filename'
Summary
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2023-6976 (GCVE-0-2023-6976)
Vulnerability from cvelistv5
Published
2023-12-20 05:30
Modified
2024-08-02 08:50
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type
Summary
This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.2 |
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CVE-2024-0520 (GCVE-0-2024-0520)
Vulnerability from cvelistv5
Published
2024-06-06 18:19
Modified
2024-08-01 18:11
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-23 - Relative Path Traversal
Summary
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 source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < 2.9.0 |
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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-2024-37056 (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-2024-1558 (GCVE-0-2024-1558)
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-01 18:40
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
A path traversal vulnerability exists in the `_create_model_version()` function within `server/handlers.py` of the mlflow/mlflow repository, due to improper validation of the `source` parameter. Attackers can exploit this vulnerability by crafting a `source` parameter that bypasses the `_validate_non_local_source_contains_relative_paths(source)` function's checks, allowing for arbitrary file read access on the server. The issue arises from the handling of unquoted URL characters and the subsequent misuse of the original `source` value for model version creation, leading to the exposure of sensitive files when interacting with the `/model-versions/get-artifact` handler.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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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-2024-1593 (GCVE-0-2024-1593)
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-01 18:48
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Summary
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. This vulnerability allows for arbitrary data smuggling into the 'params' part of the URL, enabling attacks similar to those described in previous reports but utilizing the ';' character for parameter smuggling. Successful exploitation could lead to unauthorized information disclosure or server compromise.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Version: unspecified < |
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Vulnerability from fkie_nvd
Published
2022-02-23 09:15
Modified
2024-11-21 06:39
Severity ?
Summary
Insecure Temporary File in GitHub repository mlflow/mlflow prior to 1.23.1.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711 | Patch, Third Party Advisory | |
| security@huntr.dev | https://huntr.dev/bounties/e5384764-c583-4dec-a1d8-4697f4e12f75 | Exploit, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711 | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.dev/bounties/e5384764-c583-4dec-a1d8-4697f4e12f75 | Exploit, Patch, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2024-02-23 22:15
Modified
2025-01-22 14:15
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
9.6 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
9.6 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Summary
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.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| reefs@jfrog.com | https://github.com/mlflow/mlflow/pull/10873 | Issue Tracking, Patch | |
| reefs@jfrog.com | https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/ | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/pull/10873 | Issue Tracking, Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/ | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"id": "CVE-2024-27132",
"lastModified": "2025-01-22T14:15:26.130",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:46
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"references": [
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Vulnerability from fkie_nvd
Published
2024-04-16 00:15
Modified
2025-02-03 15:18
Severity ?
Summary
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 `_delete_artifact_mlflow_artifacts` handler and `local_file_uri_to_path` function, allowing for the deletion of arbitrary directories on the server's filesystem. This vulnerability is due to an extra unquote operation in the `delete_artifacts` function of `local_artifact_repo.py`, which fails to properly sanitize user-supplied paths. The issue is present up to version 2.9.2, despite attempts to fix a similar issue in CVE-2023-6831.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/4a34259c-3c8f-4872-b178-f27fbc876b98 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/4a34259c-3c8f-4872-b178-f27fbc876b98 | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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],
"id": "CVE-2024-1560",
"lastModified": "2025-02-03T15:18:54.417",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:46
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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],
"id": "CVE-2024-37059",
"lastModified": "2025-02-03T14:46:23.250",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:48
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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}
],
"id": "CVE-2024-37061",
"lastModified": "2025-02-03T14:48:37.123",
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"references": [
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Vulnerability from fkie_nvd
Published
2024-05-16 09:15
Modified
2025-02-03 15:55
Severity ?
Summary
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 users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts. The vulnerability specifically affects the handling of artifact deletions within the application, as demonstrated by the ability of a low privilege user to delete a directory inside an artifact using a DELETE request, despite the official documentation stating that users with EDIT permission can only read and update artifacts, not delete them.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8 | Patch | |
| security@huntr.dev | https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8 | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11 | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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}
],
"id": "CVE-2024-4263",
"lastModified": "2025-02-03T15:55:20.030",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:46
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2024-06-06 19:15
Modified
2024-11-21 09:10
Severity ?
Summary
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 '../'. An attacker can exploit this flaw by manipulating the fragment part of the URI to read arbitrary files on the local file system, including sensitive files like '/etc/passwd'. The vulnerability is a bypass to a previous patch that only addressed similar manipulation within the URI's query string, highlighting the need for comprehensive validation of all parts of a URI to prevent LFI attacks.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/96f0b573a73d8eedd6735a2ce26e08859527be07 | Patch | |
| security@huntr.dev | https://huntr.com/bounties/19bf02d7-6393-4a95-b9d0-d6d4d2d8c298 | Exploit, Issue Tracking, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/96f0b573a73d8eedd6735a2ce26e08859527be07 | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/19bf02d7-6393-4a95-b9d0-d6d4d2d8c298 | Exploit, Issue Tracking, Patch, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2025-03-20 10:15
Modified
2025-04-02 16:10
Severity ?
Summary
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 respond to other requests. This vulnerability is due to uncontrolled resource consumption.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612b | Exploit, Third Party Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612b | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | 2.17.2 |
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"id": "CVE-2025-0453",
"lastModified": "2025-04-02T16:10:48.930",
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Vulnerability from fkie_nvd
Published
2024-06-06 19:15
Modified
2024-11-21 09:28
Severity ?
Summary
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. Additionally, an attacker can exploit this vulnerability to perform data model poisoning by creating a model with the same name, potentially causing an authenticated user to become a victim by using the poisoned model. The issue stems from inadequate validation of model names, allowing for the creation of models with URL-encoded names that are treated as distinct from their URL-decoded counterparts.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/8d96374a-ce8d-480e-9cb0-0a7e5165c24a | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/8d96374a-ce8d-480e-9cb0-0a7e5165c24a | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | - |
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],
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Vulnerability from fkie_nvd
Published
2023-12-05 07:15
Modified
2024-11-21 08:24
Severity ?
Summary
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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}
],
"id": "CVE-2023-43472",
"lastModified": "2024-11-21T08:24:07.247",
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Vulnerability from fkie_nvd
Published
2024-04-16 00:15
Modified
2025-02-03 15:41
Severity ?
Summary
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. This vulnerability allows for arbitrary data smuggling into the 'params' part of the URL, enabling attacks similar to those described in previous reports but utilizing the ';' character for parameter smuggling. Successful exploitation could lead to unauthorized information disclosure or server compromise.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/dbdc6bd6-d09a-46f2-9d9c-5138a14b6e31 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/dbdc6bd6-d09a-46f2-9d9c-5138a14b6e31 | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-03-24 15:15
Modified
2024-11-21 07:38
Severity ?
Summary
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.2.2.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-12-13 00:15
Modified
2024-11-21 08:44
Severity ?
Summary
Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * | |
| microsoft | windows | - |
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],
"id": "CVE-2023-6753",
"lastModified": "2024-11-21T08:44:29.233",
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Vulnerability from fkie_nvd
Published
2024-04-16 00:15
Modified
2025-02-03 15:50
Severity ?
Summary
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 'is_local_uri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted 'source' parameters, enabling the reading of sensitive files within at least two directory levels from the server's root.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc | Patch | |
| security@huntr.dev | https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"id": "CVE-2024-3573",
"lastModified": "2025-02-03T15:50:28.267",
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Vulnerability from fkie_nvd
Published
2024-04-16 00:15
Modified
2025-02-03 15:41
Severity ?
Summary
A path traversal vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the `artifact_location` 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 server in the context of the server's process. This issue is similar to CVE-2023-6909 but utilizes a different component of the URI to achieve the same effect.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/424b6f6b-e778-4a2b-b860-39730d396f3e | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/424b6f6b-e778-4a2b-b860-39730d396f3e | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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}
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"id": "CVE-2024-1594",
"lastModified": "2025-02-03T15:41:00.377",
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Vulnerability from fkie_nvd
Published
2024-11-25 14:15
Modified
2025-02-03 15:05
Severity ?
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
7.0 (High) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
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.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| reefs@jfrog.com | https://github.com/mlflow/mlflow/pull/10874 | Issue Tracking, Patch |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-12-20 06:15
Modified
2024-11-21 08:44
Severity ?
Summary
This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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}
],
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:45
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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],
"id": "CVE-2024-37056",
"lastModified": "2025-02-03T14:45:07.183",
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Vulnerability from fkie_nvd
Published
2025-03-20 10:15
Modified
2025-08-05 17:05
Severity ?
Summary
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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"value": "Existe una vulnerabilidad de Cross-Site Request Forgery (CSRF) en la funci\u00f3n de registro de mlflow/mlflow versiones 2.17.0 a 2.20.1. Esta vulnerabilidad permite a un atacante crear una nueva cuenta, que puede utilizarse para realizar acciones no autorizadas en nombre del usuario malicioso."
}
],
"id": "CVE-2025-1473",
"lastModified": "2025-08-05T17:05:22.780",
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Vulnerability from fkie_nvd
Published
2023-05-17 21:15
Modified
2024-11-21 07:59
Severity ?
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.3.1.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"id": "CVE-2023-2780",
"lastModified": "2024-11-21T07:59:16.617",
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Vulnerability from fkie_nvd
Published
2024-02-23 22:15
Modified
2025-01-22 13:46
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
9.6 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
9.6 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Summary
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.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| reefs@jfrog.com | https://github.com/mlflow/mlflow/pull/10893 | Issue Tracking, Patch | |
| reefs@jfrog.com | https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/pull/10893 | Issue Tracking, Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"id": "CVE-2024-27133",
"lastModified": "2025-01-22T13:46:56.667",
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Vulnerability from fkie_nvd
Published
2023-12-15 01:15
Modified
2024-11-21 08:44
Severity ?
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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"lang": "es",
"value": "Path Traversal: \u0027\\..\\filename\u0027 en el repositorio de GitHub mlflow/mlflow anterior a 2.9.2."
}
],
"id": "CVE-2023-6831",
"lastModified": "2024-11-21T08:44:38.267",
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Vulnerability from fkie_nvd
Published
2023-12-20 06:15
Modified
2024-11-21 08:44
Severity ?
Summary
A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it could be abuse to get a remote code execution on the victim machine.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"id": "CVE-2023-6974",
"lastModified": "2024-11-21T08:44:57.340",
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Vulnerability from fkie_nvd
Published
2025-03-20 10:15
Modified
2025-08-05 16:15
Severity ?
Summary
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 parts such as query and parameters are not handled. The vulnerability is triggered if the user has configured the dbfs service, and during usage, the service is mounted to a local directory.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | 2.15.1 |
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}
],
"id": "CVE-2024-8859",
"lastModified": "2025-08-05T16:15:20.240",
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Vulnerability from fkie_nvd
Published
2023-07-19 01:15
Modified
2024-11-21 08:18
Severity ?
Summary
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * | |
| microsoft | windows | - |
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"id": "CVE-2023-3765",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:35
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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}
],
"id": "CVE-2024-37052",
"lastModified": "2025-02-03T14:35:02.407",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:44
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"id": "CVE-2024-37055",
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Vulnerability from fkie_nvd
Published
2023-11-16 16:15
Modified
2024-11-21 08:42
Severity ?
Summary
An attacker can overwrite any file on the server hosting MLflow without any authentication.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/7cf918b5-43f4-48c0-a371-4d963ce69b30 | Exploit, Technical Description, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/7cf918b5-43f4-48c0-a371-4d963ce69b30 | Exploit, Technical Description, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | - |
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}
],
"id": "CVE-2023-6018",
"lastModified": "2024-11-21T08:42:59.413",
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]
}
Vulnerability from fkie_nvd
Published
2023-12-12 04:15
Modified
2024-11-21 08:44
Severity ?
Summary
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625 | Patch | |
| security@huntr.dev | https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d | Exploit, Issue Tracking, Mitigation, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625 | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d | Exploit, Issue Tracking, Mitigation, Patch, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"value": "Neutralizaci\u00f3n inadecuada de elementos especiales utilizados en un motor de plantillas en el repositorio de GitHub mlflow/mlflow anterior a 2.9.2."
}
],
"id": "CVE-2023-6709",
"lastModified": "2024-11-21T08:44:24.410",
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Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:45
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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],
"id": "CVE-2024-37057",
"lastModified": "2025-02-03T14:45:23.600",
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Vulnerability from fkie_nvd
Published
2024-06-06 19:15
Modified
2024-11-21 08:46
Severity ?
Summary
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 source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9d | Patch | |
| security@huntr.dev | https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbc | Exploit, Issue Tracking, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9d | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbc | Exploit, Issue Tracking, Patch, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-05-11 02:15
Modified
2025-01-27 17:15
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
A directory traversal vulnerability in the /get-artifact API method of the mlflow platform up to v2.0.1 allows attackers to read arbitrary files on the server via the path parameter.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-03-24 15:15
Modified
2024-11-21 07:38
Severity ?
9.3 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-12-20 06:15
Modified
2024-11-21 08:44
Severity ?
Summary
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2024-04-16 00:15
Modified
2025-02-03 15:02
Severity ?
Summary
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 '?', an attacker can traverse the server's directory structure. The issue occurs due to insufficient validation of user-supplied input in the server's handlers.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/52a3855d-93ff-4460-ac24-9c7e4334198d | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/52a3855d-93ff-4460-ac24-9c7e4334198d | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"value": "CWE-22"
}
],
"source": "security@huntr.dev",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2025-03-20 10:15
Modified
2025-04-01 20:33
Severity ?
Summary
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 service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | 2.13.2 |
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},
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}
],
"id": "CVE-2024-6838",
"lastModified": "2025-04-01T20:33:56.510",
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}
Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:35
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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}
],
"id": "CVE-2024-37053",
"lastModified": "2025-02-03T14:35:07.880",
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Vulnerability from fkie_nvd
Published
2023-11-16 16:15
Modified
2024-11-21 08:42
Severity ?
Summary
MLflow allowed arbitrary files to be PUT onto the server.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/43e6fb72-676e-4670-a225-15d6836f65d3 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/43e6fb72-676e-4670-a225-15d6836f65d3 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"versionEndExcluding": "2.8.1",
"vulnerable": true
}
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"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "MLflow allowed arbitrary files to be PUT onto the server."
},
{
"lang": "es",
"value": "MLflow permiti\u00f3 PONER archivos arbitrarios en el servidor."
}
],
"id": "CVE-2023-6015",
"lastModified": "2024-11-21T08:42:59.037",
"metrics": {
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"version": "3.1"
},
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"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2023-11-16T16:15:34.370",
"references": [
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],
"source": "security@huntr.dev",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-06-04 12:15
Modified
2025-02-03 14:40
Severity ?
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
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
| ▶ | URL | Tags | |
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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"value": "La deserializaci\u00f3n de datos que no son de confianza puede ocurrir en versiones de la plataforma MLflow que ejecutan la versi\u00f3n 0.9.0 o posterior, lo que permite que un modelo PyFunc cargado maliciosamente ejecute c\u00f3digo arbitrario en el sistema de un usuario final cuando interact\u00faa con \u00e9l."
}
],
"id": "CVE-2024-37054",
"lastModified": "2025-02-03T14:40:37.527",
"metrics": {
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},
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"source": "nvd@nist.gov",
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"published": "2024-06-04T12:15:11.190",
"references": [
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"tags": [
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Vulnerability from fkie_nvd
Published
2023-12-19 02:15
Modified
2024-11-21 08:44
Severity ?
Summary
with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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}
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}
],
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},
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"value": "Con solo una interacci\u00f3n del usuario (descargar una configuraci\u00f3n maliciosa), los atacantes pueden obtener la ejecuci\u00f3n completa del comando en el sistema v\u00edctima."
}
],
"id": "CVE-2023-6940",
"lastModified": "2024-11-21T08:44:52.890",
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"version": "3.1"
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"source": "nvd@nist.gov",
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},
"published": "2023-12-19T02:15:45.050",
"references": [
{
"source": "security@huntr.dev",
"tags": [
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"url": "https://github.com/mlflow/mlflow/commit/5139b1087d686fa52e2b087e09da66aff86297b1"
},
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"tags": [
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"url": "https://huntr.com/bounties/c6f59480-ce47-4f78-a3dc-4bd8ca15029c"
},
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],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Modified",
"weaknesses": [
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{
"lang": "en",
"value": "CWE-77"
}
],
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"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-04-16 00:15
Modified
2025-02-03 15:14
Severity ?
Summary
A path traversal vulnerability exists in the `_create_model_version()` function within `server/handlers.py` of the mlflow/mlflow repository, due to improper validation of the `source` parameter. Attackers can exploit this vulnerability by crafting a `source` parameter that bypasses the `_validate_non_local_source_contains_relative_paths(source)` function's checks, allowing for arbitrary file read access on the server. The issue arises from the handling of unquoted URL characters and the subsequent misuse of the original `source` value for model version creation, leading to the exposure of sensitive files when interacting with the `/model-versions/get-artifact` handler.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/7f4dbcc5-b6b3-43dd-b310-e2d0556a8081 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/7f4dbcc5-b6b3-43dd-b310-e2d0556a8081 | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-12-18 04:15
Modified
2024-11-21 08:44
Severity ?
Summary
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-12-20 06:15
Modified
2024-11-21 08:44
Severity ?
Summary
This vulnerability enables malicious users to read sensitive files on the server.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-04-28 00:15
Modified
2024-11-21 07:58
Severity ?
Summary
Relative Path Traversal in GitHub repository mlflow/mlflow prior to 2.3.1.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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Vulnerability from fkie_nvd
Published
2023-12-07 05:15
Modified
2024-11-21 08:44
Severity ?
Summary
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 then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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"value": "Cross-Site-Scripting (XSS) Reflejadas en el repositorio de GitHub mlflow/mlflow antes de 2.9.0."
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Vulnerability from fkie_nvd
Published
2023-11-16 21:15
Modified
2024-11-21 08:42
Severity ?
Summary
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/3e64df69-ddc2-463e-9809-d07c24dc1de4 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/3e64df69-ddc2-463e-9809-d07c24dc1de4 | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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],
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"impactScore": 5.9,
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Vulnerability from fkie_nvd
Published
2024-05-16 09:15
Modified
2025-01-24 17:28
Severity ?
Summary
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 skipping validation. This allows an attacker to construct a URL that, when processed, ignores the protocol scheme and uses the provided path for filesystem access. As a result, an attacker can read arbitrary files, including sensitive information such as SSH and cloud keys, by exploiting the way the application converts the URL into a filesystem path. The issue stems from insufficient validation of the fragment portion of the URL, leading to arbitrary file read through path traversal.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/mlflow/mlflow/commit/f8d51e21523238280ebcfdb378612afd7844eca8 | Patch | |
| security@huntr.dev | https://huntr.com/bounties/8d5aadaa-522f-4839-b41b-d7da362dd610 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/mlflow/mlflow/commit/f8d51e21523238280ebcfdb378612afd7844eca8 | Patch | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/8d5aadaa-522f-4839-b41b-d7da362dd610 | Exploit, Issue Tracking, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"lastModified": "2025-01-24T17:28:21.717",
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Vulnerability from fkie_nvd
Published
2025-03-20 10:15
Modified
2025-03-27 15:36
Severity ?
Summary
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 secure user account management. The issue is fixed in version 2.19.0.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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},
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}
],
"id": "CVE-2025-1474",
"lastModified": "2025-03-27T15:36:42.540",
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Vulnerability from fkie_nvd
Published
2023-08-01 01:15
Modified
2024-11-21 08:34
Severity ?
Summary
OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
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"lastModified": "2024-11-21T08:34:15.977",
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