9.8
CVSSv3

CVE-2023-1177

Published: 24/03/2023 Updated: 02/11/2023
CVSS v3 Base Score: 9.8 | Impact Score: 5.9 | Exploitability Score: 3.9
VMScore: 0

Vulnerability Summary

Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow before 2.2.1.

Vulnerability Trend

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lfprojects mlflow

Github Repositories

MLflow red team toolsuite

Snaike-MLflow Snaike: ProtectAI's Python AI red teaming toolsuite MLflow: Platform for the machine learning lifecycle CVE-2023-1177 is an LFI/RFI vulnerability in MLflow <223 exploitable with the MLFIflow tool It allows an unauthenticated, remote attacker to read arbitrary files such as SSH and AWS keys as well as remote files MLflow is vulnerable to this out of

CVE for 2023

CVE-2023-1177 (MLFlow Path Traversal) About MLflow MLflow is an open-source platform for managing the end-to-end machine learning lifecycle Primary Functions: MLflow tackles four primary functions: Tracking experiments to record and compare parameters and results (MLflow Tracking) Packaging ML code in a reusable, reproducible form in order to share with other data scientists

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CVE-2023-1177 Learn more things, not suck all things