Filtered by vendor Lfprojects Subscriptions
Filtered by product Mlflow Subscriptions
Total 26 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2024-27134 1 Lfprojects 1 Mlflow 2024-11-25 7 High
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.
CVE-2024-3099 1 Lfprojects 1 Mlflow 2024-11-21 5.4 Medium
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.
CVE-2024-2928 1 Lfprojects 1 Mlflow 2024-11-21 7.5 High
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.
CVE-2024-0520 1 Lfprojects 1 Mlflow 2024-11-21 8.8 High
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.
CVE-2023-6977 1 Lfprojects 1 Mlflow 2024-11-21 7.5 High
This vulnerability enables malicious users to read sensitive files on the server.
CVE-2023-6976 1 Lfprojects 1 Mlflow 2024-11-21 8.8 High
This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process.
CVE-2023-6975 1 Lfprojects 1 Mlflow 2024-11-21 9.8 Critical
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information.
CVE-2023-6974 1 Lfprojects 1 Mlflow 2024-11-21 9.8 Critical
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.
CVE-2023-6940 1 Lfprojects 1 Mlflow 2024-11-21 8.8 High
with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system.
CVE-2023-6909 1 Lfprojects 1 Mlflow 2024-11-21 7.5 High
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
CVE-2023-6831 1 Lfprojects 1 Mlflow 2024-11-21 8.1 High
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
CVE-2023-6753 2 Lfprojects, Microsoft 2 Mlflow, Windows 2024-11-21 8.8 High
Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.
CVE-2023-6709 1 Lfprojects 1 Mlflow 2024-11-21 8.8 High
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.
CVE-2023-6568 1 Lfprojects 1 Mlflow 2024-11-21 6.1 Medium
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.
CVE-2023-6018 1 Lfprojects 1 Mlflow 2024-11-21 9.8 Critical
An attacker can overwrite any file on the server hosting MLflow without any authentication.
CVE-2023-6015 1 Lfprojects 1 Mlflow 2024-11-21 7.5 High
MLflow allowed arbitrary files to be PUT onto the server.
CVE-2023-6014 1 Lfprojects 1 Mlflow 2024-11-21 9.8 Critical
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment.
CVE-2023-4033 2 Lfprojects, Mlflow 2 Mlflow, Mlflow 2024-11-21 7.8 High
OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.
CVE-2023-43472 1 Lfprojects 1 Mlflow 2024-11-21 7.5 High
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.
CVE-2023-3765 2 Lfprojects, Microsoft 2 Mlflow, Windows 2024-11-21 10.0 Critical
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.