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cpe:2.3:a:lfprojects:mlflow:2.11.1:*:*:*:*:*:*:*

part: a version: 2.11.1 update: *

VendorLfprojects (4544abc5-133d-544b-9bd5-895c4c487a16)
ProductMlflow (5e81e7b0-7dac-5ba5-8d2f-b1ba6b55eb8a)
Edition*
Language*
Software edition*
Target software*
Target hardware*
Other*
NotesImported from NVD CPE 2.0 feed

PURL mappings

PURLSourceLast updated
pkg:github/mlflow/mlflow purl2cpe 2026-06-01 10:17:49.978329
pkg:pypi/mlflow purl2cpe 2026-06-01 10:17:49.978331

Vulnerability references

IdentifiercpeApplicabilitySubmitteddb.gcve.eu detailsRationale
CVE:CVE-2024-3099 vulnerable 2026-06-03 14:56:23.372183 Denial of Service and Data Model Poisoning via URL Encoding in mlflow/mlflow
MEDIUM (5.4)
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.
Published: 2024-06-06T18:08:16.402Z
Updated: 2024-08-01T19:32:42.675Z
Reference links
Imported from gcve-enriched-dumps CVE data

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