Note:
This project will be discontinued after December 13, 2021. [more]
Product:
Mlflow
(Lfprojects)| Repositories |
Unknown: This might be proprietary software. |
| #Vulnerabilities | 46 |
| Date | Id | Summary | Products | Score | Patch | Annotated |
|---|---|---|---|---|---|---|
| 2024-06-04 | CVE-2024-37055 | 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. | Mlflow | 8.8 | ||
| 2024-06-04 | CVE-2024-37056 | 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. | Mlflow | 8.8 | ||
| 2024-06-04 | CVE-2024-37057 | 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. | Mlflow | 8.8 | ||
| 2024-06-04 | CVE-2024-37058 | 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. | Mlflow | 8.8 | ||
| 2024-06-04 | CVE-2024-37059 | 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. | Mlflow | 8.8 | ||
| 2024-06-04 | CVE-2024-37060 | 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. | Mlflow | 8.8 | ||
| 2024-06-04 | CVE-2024-37061 | 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. | Mlflow | 8.8 | ||
| 2024-11-25 | CVE-2024-27134 | 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. | Mlflow | 7.0 | ||
| 2023-05-11 | CVE-2023-30172 | 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. | Mlflow | 7.5 | ||
| 2024-05-16 | CVE-2024-3848 | 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... | Mlflow | 7.5 |