Vendor
MLflow
89 known vulnerabilities.
MLflow at a glance
Show as table
| Month | Vulnerabilities | Critical |
|---|---|---|
| Nov 2026 | 6 | 0 |
| Oct 2026 | 5 | 1 |
| Sep 2026 | 3 | 0 |
| Aug 2026 | 4 | 1 |
| Jul 2026 | 1 | 0 |
| Jun 2026 | 2 | 1 |
| May 2026 | 7 | 2 |
| Apr 2026 | 3 | 1 |
| Mar 2026 | 6 | 3 |
| Feb 2026 | 3 | 1 |
| Jan 2026 | 1 | 0 |
| Dec 2025 | 0 | 0 |
| Nov 2025 | 0 | 0 |
| Oct 2025 | 2 | 0 |
| Sep 2025 | 0 | 0 |
| Aug 2025 | 0 | 0 |
| Jul 2025 | 0 | 0 |
| Jun 2025 | 0 | 0 |
| May 2025 | 0 | 0 |
| Apr 2025 | 0 | 0 |
| Mar 2025 | 5 | 0 |
| Feb 2025 | 0 | 0 |
| Jan 2025 | 0 | 0 |
| Dec 2024 | 0 | 0 |
Most common weaknesses
Products
89 results · Feed
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High 8.2
MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability
MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability. This vulnerability allows remote attackers to disclose sensitive information on affected installations of MLflow. Authentication is not required to exploit this vulnerabili…
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High 7.8
MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnerability
MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow. User interaction is required to exploit this vulnerabil…
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Medium 5.4
MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability
MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability. This vulnerability allows remote attackers to escalate privileges on affected installations of MLflow. Authentication is required to exploit this vulnerability. The specif…
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Medium 6.3
MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability
MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability. This vulnerability allows remote attackers to escalate privileges on affected installations of MLflow. Authentication is required to exploit this vulnerability. The specific flaw…
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Medium 5.4
MLflow Tracking Server Jobs Missing Authorization Information Disclosure Vulnerability
MLflow Tracking Server Jobs Missing Authorization Information Disclosure Vulnerability. This vulnerability allows remote attackers to disclose sensitive information on affected installations of MLflow. Authentication is required to exploit this vulnerability.…
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High 7.8
MLflow PickleEvaluationArtifact Deserialization of Untrusted Data Remote Code Execution Vulnerability
MLflow PickleEvaluationArtifact Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow. User interaction is required to exploit this vulne…
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Critical 9.8CVE-2026-116692 Public exploit
MLflow: Remote code execution on unauthenticated MLflow servers via third-party scorer deserialization importing caller-placed artifact modules
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, third-party scorer deserialization in mlflow/genai/scorers/base.py accepts request-selected descendants of THIRD_PART…
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Medium 6.5
MLflow CrewAI autologging records LLM provider API keys in logged trace spans
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 2.19.0 until 3.17.0, mlflow.crewai.autolog() records CrewAI Agent objects without consistently sanitizing nested credential-bearing values. m…
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High 7.5
MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path validation runs only when …
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Medium 6.5
MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, the scorer invoke, register, and GenAI evaluate endpoints, including unauthenticated POST /ajax-api/3.0/mlflow/scorer…
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High 8.2CVE-2026-53995 Public exploit
MLflow 3.17.1 and prior Path Traversal via Trace ID API
MLflow 3.17.1 and earlier contains a path traversal vulnerability in the FileStore tracking backend that allows unauthenticated attackers to control filesystem paths by submitting a crafted trace ID containing traversal sequences to the POST /api/3.0/mlflow/t…
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High 8.8
CVE-2026-96804
MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.
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High 8.8
MLflow dspy bypasses pickle deserialization control
MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.
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High 8.6
Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously craf…
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Medium 6.5
MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth
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 authenticated user to c…
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High 7.1
MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id
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 mlflow/server/handler…
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Critical 9.3
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflo…
KEV Aug 19, 2026 -
High 7.1CVE-2026-71211 Public exploit
mlflow - Unvalidated Gateway Secret api_base Enables SSRF via Gateway Proxy Endpoint
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 endpoint (mlflow/serv…
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High 8.1
Authorization Bypass in mlflow/mlflow
In MLflow versions prior to 3.14.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including…
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Critical 9.1
Environment Variable Resolution Vulnerability in mlflow/mlflow
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 environment credentials to an attacker-controlled endpoint. This iss…
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Medium 6.5
Improper Access Control in mlflow/mlflow
MLflow 3.9.0 with basic-auth (`--app-name basic-auth`) fails to enforce authorization checks for multiple Gateway API 'list' endpoints. Specifically, the `BEFORE_REQUEST_HANDLERS` dictionary in `mlflow/server/auth/__init__.py` does not include entries for `Li…
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Critical 9.0
Missing Authorization Validation in mlflow/mlflow
A vulnerability in MLflow versions <=3.10.1.dev0 allows unauthorized access to multipart upload (MPU) endpoints when the `--serve-artifacts` mode is enabled. The authorization logic does not enforce resource-level permission checks for `/mlflow-artifacts/mpu/…
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Medium 6.5
Authorization Bypass in SearchModelVersions in mlflow/mlflow
In mlflow/mlflow versions up to 3.9.0, the `SearchModelVersions` REST API endpoint and the `mlflowSearchModelVersions` GraphQL query lack proper per-model authorization checks when basic authentication is enabled. This allows any authenticated user to enumera…
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Critical 9.6
Improper Origin Validation in mlflow/mlflow
In MLflow version 3.9.0, the MLflow Assistant feature introduced improper origin validation in its /ajax-api endpoints. This vulnerability allows a remote attacker to exploit cross-origin requests from a malicious webpage to interact with the MLflow Assistant…
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High 7.0
Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow
In mlflow/mlflow versions prior to 3.11.0, the `get_or_create_nfs_tmp_dir()` function in `mlflow/utils/file_utils.py` creates temporary directories with world-writable permissions (0o777), and the `_create_model_downloading_tmp_dir()` function in `mlflow/pyfu…
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High 8.6CVE-2026-2652 EPSS 21%
Authentication Bypass in mlflow/mlflow
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 served via uvicorn (ASGI). The FastAPI permission middlewa…
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High 7.5
Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow
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 arises when a `Create…
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High 7.1
Server-Side Request Forgery (SSRF) in mlflow/mlflow
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 without validation, and the `_send_webhook_request()` functi…
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Medium 5.3
Authorization Bypass in MLflow AJAX Endpoint
MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint used to download saved model artifacts. Due to missing access‑control validation, a user without permissions to a given experiment can directly query this endpoint and retrieve model …
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Medium 5.1
Stored XSS via unsafe YAML parsing in MLflow
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 when another user views t…
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Critical 9.1
Missing Authentication for Critical Function in mlflow/mlflow
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 execution is enabled (`…
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Critical 9.6CVE-2026-0596 Public exploit
Command Injection in mlflow/mlflow
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` contains shell metacha…
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Critical 10.0
Command Injection in mlflow/mlflow
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 dependency specifications from…
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Critical 9.6
Path Traversal Vulnerability in mlflow/mlflow
A path traversal vulnerability exists in the `extract_archive_to_dir` function within the `mlflow/pyfunc/dbconnect_artifact_cache.py` file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of valida…
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High 8.1
Unauthorized Access to Tracing and Assessment Endpoints in mlflow/mlflow
In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read tra…
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High 8.1
Path Traversal Vulnerability in mlflow/mlflow
A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absol…
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High 7.5
Command Injection in mlflow/mlflow
A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shel…
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Critical 9.8
MLflow 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. The specific flaw exists…
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High 8.1
MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability
MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploi…
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High 7.0
Privilege Escalation in mlflow/mlflow
In mlflow version 2.20.3, the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions (0o777). This vulnerability allows an attacker with write access to the `/tmp` directory to exploit a race conditio…