Vulnerability Description
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 using the poisoned model. The issue stems from inadequate validation of model names, allowing for the creation of models with URL-encoded names that are treated as distinct from their URL-decoded counterparts.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Lfprojects | Mlflow | - |
Related Weaknesses (CWE)
References
- https://huntr.com/bounties/8d96374a-ce8d-480e-9cb0-0a7e5165c24aExploitIssue TrackingThird Party Advisory
- https://huntr.com/bounties/8d96374a-ce8d-480e-9cb0-0a7e5165c24aExploitIssue TrackingThird Party Advisory
FAQ
What is CVE-2024-3099?
CVE-2024-3099 is a vulnerability with a CVSS score of 5.4 (MEDIUM). 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 authentica...
How severe is CVE-2024-3099?
CVE-2024-3099 has been rated MEDIUM with a CVSS base score of 5.4/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2024-3099?
Check the references section above for vendor advisories and patch information. Affected products include: Lfprojects Mlflow.