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CVE-2023-3765 Scanner

Detects 'Path Traversal' vulnerability in mlflow/mlflow affects v. before 2.5.0.


Short Info



Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 sec

Scan only one




mlflow/mlflow is a software developed for the purpose of managing machine learning workflows. It is an open-source platform that enables data scientists and engineers to track experiments, package code and models and manage them in a reproducible manner. With its powerful tools and user-friendly interface, it has become a popular choice for many organizations working with machine learning models.

CVE-2023-3765 is a critical vulnerability detected in mlflow/mlflow prior to version 2.5.0. This vulnerability allows a malicious actor to perform an absolute path traversal attack. This can be achieved by manipulating the URL and accessing arbitrary files on the server. An attacker can use this exploit to steal sensitive information, modify files or even disrupt the entire system.

Exploiting this vulnerability can lead to disastrous consequences. In the worst-case scenario, an attacker could gain complete control of the system and access sensitive data. They could also cause significant damage by deleting important files or modifying data, potentially causing a massive financial loss to the organization. Overall, this exploit poses a severe threat to the security and functionality of the system.

Finally, if you're concerned about the security of your digital assets and want to stay informed about potential vulnerabilities, the platform can help you achieve this. Using pro features, you can easily and quickly learn about vulnerabilities in your digital assets. The platform provides updated reports of potential threats and offers practical solutions to protect your online presence, giving you the peace of mind you need to focus on growing your business.



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