Product:

Mlflow

(Lfprojects)
Repositories

Unknown:

This might be proprietary software.
#Vulnerabilities 46
Date Id Summary Products Score Patch Annotated
2023-12-15 CVE-2023-6831 Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2. Mlflow 8.1
2023-12-18 CVE-2023-6909 Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2. Mlflow 7.5
2023-12-19 CVE-2023-6940 with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system. Mlflow 8.8
2023-12-20 CVE-2023-6974 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. Mlflow 9.8
2023-12-20 CVE-2023-6975 A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information. Mlflow 9.8
2023-12-20 CVE-2023-6976 This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process. Mlflow 8.8
2023-12-20 CVE-2023-6977 This vulnerability enables malicious users to read sensitive files on the server. Mlflow 7.5
2024-06-06 CVE-2024-0520 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... Mlflow 8.8
2024-06-06 CVE-2024-2928 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... Mlflow 7.5
2024-06-06 CVE-2024-3099 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... Mlflow 5.4