MLflow Absolute Path Traversal

Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0. id: CVE-2023-3765 info: name: MLflow Absolute Path Traversal author: DhiyaneshDK severity: critical description: | Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0. impact: | This vulnerability can...

CVE-2026-64849-poc-lab

Laboratorio de Seguridad — Explotación de SSRF en MLflow Webhooks CVE-2026-64849 · MLflow Uso restringido: material de laboratorio, únicamente para redes y entornos autorizados. Ver Aviso legal. 1. Resumen ejecutivo Atributo| Valor ---|--- Vulnerabilidad| CVE-2026-64849 — SSRF via Webhook Redirec...

Mlflow < 2.11.0 - Path Traversal

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 artifact URLs, where a '' character can be used to insert a path into the fragment, effectively...

Mlflow - Arbitrary File Write

An attacker can overwrite any file on the server hosting MLflow without any authentication. id: CVE-2023-6018 info: name: Mlflow - Arbitrary File Write author: byt3bl33d3r severity: critical description: | An attacker can overwrite any file on the server hosting MLflow without any authentication...

Mlflow <2.2.1 - Local File Inclusion

Mlflow before 2.2.1 is susceptible to local file inclusion due to path traversal ..\filename in GitHub repository mlflow/mlflow. An attacker can potentially obtain sensitive information, modify data, and/or execute unauthorized administrative operations in the context of the affected site. id:...

MLflow-Vuln

Vuln replication-mlflow ver 2.1.1-prep by Saima.pdf MLflow-Vulnerabilidad Vulnerabilidad MLflow LFI/RFI - CVE-2023-1177 - Reproducida Una de las herramientas más populares en un sistema de ML es MLflow, que se utiliza para gestionar el ciclo de vida completo del aprendizaje automático. Probé la...

CVE-2024-37054-PoC

MLflow Unsafe Deserialization CVE-2024-37054 Overview This repository documents research into CVE-2024-37054 , an unsafe deserialization issue affecting MLflow PyFunc model handling. In affected MLflow versions, loading an untrusted PyFunc model can cause Python deserialization logic to process a...

CVE-2023-1177-PoC-reproduce

MLflow CVE-2023-1177 - PoC & Reproduce This repository contains Proof-of-Concept PoC exploit code and instructions to reproduce the Local File Inclusion LFI vulnerability in MLflow, identified as CVE-2023-1177. Vulnerability Information: CVE ID: CVE-2023-1177 Vulnerability Type: Local File...

CVE-2026-79721

A flaw was found in MLflow. This vulnerability allows a remote attacker to achieve arbitrary code execution on an end user's system. This occurs when a maliciously crafted model artifact is loaded by the MLflow platform, enabling the execution of unauthorized code. Mitigation Avoid loading,...

CVE-2026-96775

A flaw was found in MLflow's dspy flavor. The security control intended to prevent pickle deserialization is only enforced when the model file path ends with '.pkl'. This oversight allows a remote attacker to bypass the security control and execute arbitrary code by providing a specially crafted...

CVE-2026-96804

A flaw was found in MLflow. The statsmodel component of MLflow fails to enforce a security control that prevents insecure deserialization during model loading. This allows a remote attacker to execute arbitrary code by submitting a specially crafted MLmodel artifact. This vulnerability can lead t...

CVE-2026-69146

A flaw was found in MLflow, an open-source AI engineering platform. An authenticated user could bypass authorization controls by sending requests to the LogInputs endpoint for another user's data. This allowed the user to inject unauthorized data records into the dataset lineage metadata, leading...

CVE-2026-69148

A flaw was found in MLflow, an open-source AI engineering platform. Insufficient validation in the CreateModelVersion function allows an authenticated user to create a model version that references another user's artifact directory. This enables the authenticated user to read files from that...

Mlflow <2.9.2 - Path Traversal

Path Traversal: '..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2. id: CVE-2023-6909 info: name: Mlflow 2.9.2 - Path Traversal author: Hyunsoo-ds severity: high description: | Path Traversal: '..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2. impact: | Successful...

CVE-2023-1177-MLFlow

CVE-2023-1177 MLFlow Path Traversal Acerca de MLflow MLflow es una plataforma de código abierto para gestionar el ciclo de vida completo del aprendizaje automático. Funciones principales: MLflow aborda cuatro funciones principales: Seguimiento de experimentos para registrar y comparar parámetros ...

CVE-2026-64849.yaml

id: CVE-2026-64849 info: name: MLflow Webhook SSRF - Unauthenticated Full-Read via Redirect Bypass author: DhiyaneshDk severity: critical description: | MLflow 3.15.0 contains an information disclosure vulnerability caused by improper validation of webhook URLs allowing attackers to reach interna...

CVE-2026-64849

CVE-2026-64849 More POST /api/2.0/mlflow/webhooks HTTP/1.1 Host: Content-Type: application/json "url": "https://httpbin.org/redirect-to?url=http://169.254.169.254/latest/meta-data/", "name": "poc", "events": "action": "CREATED", "entity": "REGISTEREDMODEL" POST /api/2.0/mlflow/webhooks/id/test...

CVE-2024-37054-MLflow-reverse-shell

Herramientas y Archivos Archivo| Propósito ---|--- generatemodel.py| Genera un model.pkl malicioso con payload de reverse shell uploadmodel.py| Sube el pickle a MLflow y lo promueve a Producción sample.csv| Archivo CSV utilizado para desencadenar el endpoint /predict Uso 1. Generar el pickle...

CVE-2026-96775

MLflow's dspy flavor, versions = 2.0, applies the MLFLOWALLOWPICKLEDESERIALIZATION=False security control only when the modelpath ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact...

CVE-2026-96804

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOWALLOWPICKLEDESERIALIZATION=False security control entirely in loadmodel, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact...