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Crítica

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerabil

  • Publicada: 23.02.2024
  • Actualizado: 11.10.2026 12:20

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

Software afectado

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PlataformaPaqueteVersiones vulnerablesCorregida en
Python (PyPI) mlflow < 2.10.0 2.10.0

Referencias

Puntuación CVSS 9.6/10
Vector CVSS
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Debilidad (CWE)
CWE-79
Plataforma
Python (PyPI)
Paquete
mlflow
Publicada
23.02.2024
Actualizado
11.10.2026 12:20

Fuentes y licencias

OSV / GitHub Advisory Database - GHSA-3v79-q7ph-j75h - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2024-241 - PyPA Advisory Database; CC BY 4.0

Historial de vulnerabilidades: mlflow

Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.

Todas (82) en el archivo
Entradas en total
82
Primera → última
02.2022 09.2026
Sin corrección
18
Explotada en ataques
1

Distribución por gravedad

  • Crítica 20
  • Alta 48
  • Media 13
  • Baja 1

Divulgaciones por año

Gravedad:
  1. Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerabil esta entrada
    Crítica · 9.6 CVE-2024-27133 < 2.10.0 2.10.0
  2. MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact
    Alta · 8.8 ghsa-gqvg-gmmx-x4hm >= 2.1.0, < 3.15.0 3.15.0
  3. MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
    Crítica · 9.3 Explotada en ataques CVE-2026-64849 >= 3.3.0, < 3.15.0 3.15.0
  4. MLflow AI Gateway permits SSRF through an unvalidated api_base
    Alta · 7.1 CVE-2026-71211 >= 3.13.0, <= 3.15.2 sin corrección
  5. MLflow: trace API endpoints lack proper authorization validators
    Alta · 8.1 CVE-2026-8147 >= 2.14.0rc0, < 3.13.0rc0 3.13.0rc0
  6. 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
    Alta · 7.7 CVE-2026-4035 < 3.11.0 3.11.0
  7. MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled
    Crítica · 9.0 CVE-2026-2651 < 3.10.0 3.10.0
  8. MLflow: Improper Origin Validation in MLflow Assistant /ajax-api Endpoints Enables Browser-Mediated Local Command Execution
    Crítica · 9.6 CVE-2026-2611 >= 3.9.0, < 3.10.0 3.10.0
  9. MLFlow Creates a Temporary File With Insecure Permissions
    Alta · 7.0 CVE-2026-4137 >= 1.26.0, < 3.11.0 3.11.0
  10. 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
    Alta · 8.6 CVE-2026-2652 < 3.10.0 3.10.0
  11. MLflow allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem
    Alta · 7.5 CVE-2026-2614 < 3.10.0 3.10.0
  12. 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
    Alta · 7.1 CVE-2026-2393 < 3.9.0 3.9.0
  13. mlflow: FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization
    Crítica · 9.1 CVE-2026-0545 <= 3.10.1 sin corrección
  14. Mlflow: Command Injection when serving models with enable_mlserver=True
    Crítica · 9.6 CVE-2026-0596 < 3.9.0 3.9.0
  15. MLflow Command Injection vulnerability
    Crítica · 10.0 CVE-2025-15379 < 3.8.1 3.8.1
  16. MLFlow path traversal vulnerability
    Crítica · 9.6 CVE-2025-15036 < 3.9.0rc0 3.9.0rc0
  17. MLFlow allows Tracing + Assessments Access
    Alta · 8.1 CVE-2025-15381 <= 3.8.1 sin corrección
  18. Arbitrary file write via tar traversal in mlflow
    Alta · 8.1 CVE-2025-15031 < 3.9.0rc0 3.9.0rc0
  19. MLflow has a command injection in mlflow/sagemaker/__init__.py
    Alta · 7.5 CVE-2025-14287 < 3.8.0rc0 3.8.0rc0
  20. MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability
    Alta · 8.1 CVE-2026-2033 < 3.8.0rc0 3.8.0rc0
  21. MLflow Use of Default Password Authentication Bypass Vulnerability
    Crítica · 9.8 CVE-2026-2635 < 3.8.0rc0 3.8.0rc0
  22. mlflow Creates of Temporary File in Directory with Insecure Permissions
    Alta · 7.0 CVE-2025-10279 < 3.4.0rc0 3.4.0rc0
  23. MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation
    Alta · 8.1 CVE-2025-14279 < 3.5.0 3.5.0
  24. MLflow Weak Password Requirements Authentication Bypass Vulnerability
    Alta · 8.1 CVE-2025-11200 < 2.22.0rc0 2.22.0rc0
  25. MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability
    Alta · 8.1 CVE-2025-11201 < 2.22.4, >= 3.0.0rc0, < 3.0.0 2.22.4, 3.0.0
  26. MLflow has a Local File Read/Path Traversal in dbfs
    Alta · 7.5 CVE-2024-8859 < 2.17.0rc0 2.17.0rc0
  27. 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
    Alta · 7.0 CVE-2024-27134 < 2.16.0 2.16.0
  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
    Alta · 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
    Alta · 8.8 CVE-2024-0520 < 2.9.0 2.9.0
  30. MLFlow improper input validation
    Alta · 8.8 CVE-2024-37061 >= 1.11.0, <= 2.13.1 sin corrección
  31. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37057 >= 2.0.0rc0, <= 2.14.1 sin corrección
  32. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37058 >= 2.5.0, <= 2.14.1 sin corrección
  33. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37060 >= 1.27.0, <= 2.14.1 sin corrección
  34. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37059 >= 0.5.0, <= 3.4.0 sin corrección
  35. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37054 >= 0.9.0, <= 2.14.1 sin corrección
  36. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37052 >= 1.1.0, <= 2.14.1 sin corrección
  37. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37055 >= 1.24.0, <= 2.14.1 sin corrección
  38. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37056 >= 1.23.0, <= 2.14.1 sin corrección
  39. MLFlow unsafe deserialization
    Alta · 8.8 CVE-2024-37053 >= 1.1.0, <= 2.14.1 sin corrección
  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
    Alta · 7.5 CVE-2024-3848 < 2.12.1 2.12.1
  41. mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'is_loc
    Crítica · 9.3 CVE-2024-3573 < 2.10.0 2.10.0
Mostrar más (20) Mostrando 41 de 68

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