mlflow vulnerabilities
CVEs whose affected-version data names the mlflow package (npm, pip). Each record lists the affected and patched versions; check a specific version with the dependency checker or POST /api/sbom.
54 CVEsRSS
CVE-2026-79721High· 8.6Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project.
Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project.
GHSA-gqvg-gmmx-x4hmHigh· 8.8MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact
MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact
CVE-2026-69146Medium· 6.5MLflow is an open source AI engineering platform for agents, large language models, and machine learning models
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFORE_REQUEST_HANDLERS in the mlflow/server/auth package, allowing any a…
CVE-2026-69148High· 7.1MLflow is an open source AI engineering platform for agents, large language models, and machine learning models
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a run_id or model_id after _validate_source_run() or _validate_source_model() in…
CVE-2026-71211High· 7.1PoCMLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim
MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy…
CVE-2026-8147High· 8.1MLflow: trace API endpoints lack proper authorization validators
MLflow: trace API endpoints lack proper authorization validators
CVE-2026-10803Low· 3.6MLflow: Deterministic sampling in dataset digest enables predictable collisions
MLflow: Deterministic sampling in dataset digest enables predictable collisions
CVE-2026-4035Critical· 9.1MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration
MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration
CVE-2026-3198Medium· 6.5MLflow: Any authenticated user can enumerate all gateway secrets, endpoints, and model definitions
MLflow: Any authenticated user can enumerate all gateway secrets, endpoints, and model definitions
CVE-2026-2651Critical· 9.0MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled
MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled
CVE-2026-2734Medium· 6.5MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks
MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks
CVE-2026-4137High· 7.0MLFlow Creates a Temporary File With Insecure Permissions
MLFlow Creates a Temporary File With Insecure Permissions
CVE-2026-2652High· 8.6PoCMLflow: unauthenticated access to certain FastAPI routes
MLflow: unauthenticated access to certain FastAPI routes
CVE-2026-2393High· 7.1MLflow Has a Server-Side Request Forgery (SSRF) Vulnerability
MLflow Has a Server-Side Request Forgery (SSRF) Vulnerability
CVE-2026-2614High· 7.5PoCA vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem
A vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue…
CVE-2026-33865Medium· 5.4PoCMLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface
MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes whe…
CVE-2026-33866Medium· 4.3MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint
MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint
CVE-2026-0545Critical· 9.8PoCIn mlflow/mlflow, the FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization when the `basic-auth` app is enabled
In mlflow/mlflow, the FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization when the `basic-auth` app is enabled. This vulnerability affects the latest version of the repository. If job e…
CVE-2026-0596High· 7.8PoCA command injection vulnerability exists in mlflow/mlflow when serving a model with `enable_mlserver=True`
A command injection vulnerability exists in mlflow/mlflow when serving a model with `enable_mlserver=True`. The `model_uri` is embedded directly into a shell command executed via `bash -c` without proper sanitization. If the `model_uri` …
CVE-2025-15036Critical· 9.6MLFlow path traversal vulnerability
MLFlow path traversal vulnerability
CVE-2025-15379Critical· 10.0A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependen…
CVE-2025-15381High· 8.1MLFlow allows Tracing + Assessments Access
MLFlow allows Tracing + Assessments Access
CVE-2025-15031High· 8.1Arbitrary file write via tar traversal in mlflow
Arbitrary file write via tar traversal in mlflow
CVE-2025-14287High· 7.5MLflow has a command injection in mlflow/sagemaker/__init__.py
MLflow has a command injection in mlflow/sagemaker/__init__.py
CVE-2026-2033High· 8.10dayMLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability
MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability
CVE-2026-2635High· 7.30day⚖ disputedMLflow Use of Default Password Authentication Bypass Vulnerability
MLflow Use of Default Password Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability. T…
CVE-2025-10279High· 7.0mlflow Creates of Temporary File in Directory with Insecure Permissions
mlflow Creates of Temporary File in Directory with Insecure Permissions
CVE-2025-14279High· 8.1MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation
MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation
CVE-2025-11200High· 8.10dayMLflow Weak Password Requirements Authentication Bypass Vulnerability
MLflow Weak Password Requirements Authentication Bypass Vulnerability
CVE-2025-11201High· 8.10dayMLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability
MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability