CVE ID | Published | Description | Score | Severity |
---|---|---|---|---|
This vulnerability enables malicious users to read sensitive files on the server. | 7.5 |
HIGH |
||
This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process. | 8.8 |
HIGH |
||
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information. | 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. | 9.8 |
CRITICAL |
||
with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system. | 8.8 |
HIGH |
||
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2. | 7.5 |
HIGH |
||
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2. | 8.1 |
HIGH |
||
Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2. | 8.8 |
HIGH |
||
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2. | 8.8 |
HIGH |
||
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment. | 9.8 |
CRITICAL |