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CVE-2024-3099

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

Medium5.4EPSS 0.44%
Published
Updated
Reserved
Assigned by
@huntr_ai

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.

Scores

CVSS scores of CVE-2024-3099, by who scored it
Scored byCVSSScoreVector
@huntr_aiCNA (assigner)3.0Medium5.4CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
NVDNVD · Modified3.1Medium5.4CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
EPSS (exploitation in 30 days)
0.44% · top 61% of all CVEs (6 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: no · Technical impact: partial
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The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 5.4.

Weakness

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (1)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .