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Medium

Undefined Behavior in mlflow

  • Disclosed: 06.06.2024
  • Updated: 11.10.2026 13:18

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.

Affected software

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PlatformPackageVulnerable versionsFixed in
Python (PyPI) mlflow < 2.11.3 2.11.3

References

CVSS score 5.4/10
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
Weakness (CWE)
CWE-475
Platform
Python (PyPI)
Package
mlflow
Disclosed
06.06.2024
Updated
11.10.2026 13:18

Sources and licenses

OSV / GitHub Advisory Database - GHSA-8f8q-q2j7-7j2m - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-1645 - PyPA Advisory Database; CC BY 4.0

Vulnerability history: mlflow

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (82) in the archive
Total entries
82
First → latest
02.2022 09.2026
Without a fix
18
Exploited in attacks
1

Severity breakdown

  • Critical 20
  • High 48
  • Medium 13
  • Low 1

Disclosures per year

Severity:
  1. MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact
    High · 8.8 ghsa-gqvg-gmmx-x4hm >= 2.1.0, < 3.15.0 3.15.0
  2. MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
    Critical · 9.3 Exploited in attacks CVE-2026-64849 >= 3.3.0, < 3.15.0 3.15.0
  3. MLflow AI Gateway permits SSRF through an unvalidated api_base
    High · 7.1 CVE-2026-71211 >= 3.13.0, <= 3.15.2 no fix
  4. MLflow: trace API endpoints lack proper authorization validators
    High · 8.1 CVE-2026-8147 >= 2.14.0rc0, < 3.13.0rc0 3.13.0rc0
  5. A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environme
    High · 7.7 CVE-2026-4035 < 3.11.0 3.11.0
  6. MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled
    Critical · 9.0 CVE-2026-2651 < 3.10.0 3.10.0
  7. MLflow: Improper Origin Validation in MLflow Assistant /ajax-api Endpoints Enables Browser-Mediated Local Command Execution
    Critical · 9.6 CVE-2026-2611 >= 3.9.0, < 3.10.0 3.10.0
  8. MLFlow Creates a Temporary File With Insecure Permissions
    High · 7.0 CVE-2026-4137 >= 1.26.0, < 3.11.0 3.11.0
  9. A vulnerability in mlflow/mlflow versions 3.9.0 and earlier allows unauthenticated access to certain FastAPI routes when the server is started with authentication enabled (`--app-name basic-auth`) and
    High · 8.6 CVE-2026-2652 < 3.10.0 3.10.0
  10. MLflow allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem
    High · 7.5 CVE-2026-2614 < 3.10.0 3.10.0
  11. A Server-Side Request Forgery (SSRF) vulnerability exists in MLflow versions prior to 3.9.0. The `_create_webhook()` function in `mlflow/server/handlers.py` accepts a user-controlled `url` parameter w
    High · 7.1 CVE-2026-2393 < 3.9.0 3.9.0
  12. mlflow: FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization
    Critical · 9.1 CVE-2026-0545 <= 3.10.1 no fix
  13. Mlflow: Command Injection when serving models with enable_mlserver=True
    Critical · 9.6 CVE-2026-0596 < 3.9.0 3.9.0
  14. MLflow Command Injection vulnerability
    Critical · 10.0 CVE-2025-15379 < 3.8.1 3.8.1
  15. MLFlow path traversal vulnerability
    Critical · 9.6 CVE-2025-15036 < 3.9.0rc0 3.9.0rc0
  16. MLFlow allows Tracing + Assessments Access
    High · 8.1 CVE-2025-15381 <= 3.8.1 no fix
  17. Arbitrary file write via tar traversal in mlflow
    High · 8.1 CVE-2025-15031 < 3.9.0rc0 3.9.0rc0
  18. MLflow has a command injection in mlflow/sagemaker/__init__.py
    High · 7.5 CVE-2025-14287 < 3.8.0rc0 3.8.0rc0
  19. MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability
    High · 8.1 CVE-2026-2033 < 3.8.0rc0 3.8.0rc0
  20. MLflow Use of Default Password Authentication Bypass Vulnerability
    Critical · 9.8 CVE-2026-2635 < 3.8.0rc0 3.8.0rc0
  21. mlflow Creates of Temporary File in Directory with Insecure Permissions
    High · 7.0 CVE-2025-10279 < 3.4.0rc0 3.4.0rc0
  22. MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation
    High · 8.1 CVE-2025-14279 < 3.5.0 3.5.0
  23. MLflow Weak Password Requirements Authentication Bypass Vulnerability
    High · 8.1 CVE-2025-11200 < 2.22.0rc0 2.22.0rc0
  24. MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability
    High · 8.1 CVE-2025-11201 < 2.22.4, >= 3.0.0rc0, < 3.0.0 2.22.4, 3.0.0
  25. MLflow has a Local File Read/Path Traversal in dbfs
    High · 7.5 CVE-2024-8859 < 2.17.0rc0 2.17.0rc0
  26. Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU at
    High · 7.0 CVE-2024-27134 < 2.16.0 2.16.0
  27. Undefined Behavior in mlflow this entry
    Medium · 5.4 CVE-2024-3099 < 2.11.3 2.11.3
  28. A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure t
    High · 7.5 CVE-2024-2928 < 2.11.3 2.11.3
  29. A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.h
    High · 8.8 CVE-2024-0520 < 2.9.0 2.9.0
  30. MLFlow improper input validation
    High · 8.8 CVE-2024-37061 >= 1.11.0, <= 2.13.1 no fix
  31. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37057 >= 2.0.0rc0, <= 2.14.1 no fix
  32. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37058 >= 2.5.0, <= 2.14.1 no fix
  33. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37060 >= 1.27.0, <= 2.14.1 no fix
  34. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37059 >= 0.5.0, <= 3.4.0 no fix
  35. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37054 >= 0.9.0, <= 2.14.1 no fix
  36. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37052 >= 1.1.0, <= 2.14.1 no fix
  37. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37055 >= 1.24.0, <= 2.14.1 no fix
  38. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37056 >= 1.23.0, <= 2.14.1 no fix
  39. MLFlow unsafe deserialization
    High · 8.8 CVE-2024-37053 >= 1.1.0, <= 2.14.1 no fix
  40. A path traversal vulnerability exists in mlflow/mlflow version 2.11.0, identified as a bypass for the previously addressed CVE-2023-6909. The vulnerability arises from the application's handling of ar
    High · 7.5 CVE-2024-3848 < 2.12.1 2.12.1
Show more (20) Showing 40 of 69

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