VYPR
Moderate severityNVD Advisory· Published Jun 6, 2024· Updated Aug 1, 2024

Denial of Service and Data Model Poisoning via URL Encoding in mlflow/mlflow

CVE-2024-3099

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.

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
mlflowPyPI
< 2.11.32.11.3

Affected products

3

Patches

Vulnerability mechanics

References

3

News mentions

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