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148 vulnerabilities found for MLflow by lfprojects
CVE-2026-10803 (GCVE-0-2026-10803)
Vulnerability from nvd – Published: 2026-06-04 11:45 – Updated: 2026-06-04 12:55
VLAI
Title
MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash
Summary
A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/368252 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/368252/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-10803 | third-party-advisory |
| https://vuldb.com/submit/831462 | third-party-advisory |
| https://github.com/mlflow/mlflow/issues/22419 | exploitissue-tracking |
| https://github.com/mlflow/mlflow/pull/22420 | issue-trackingpatch |
| https://github.com/mlflow/mlflow/ | product |
Impacted products
Credits
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CVE-2026-4035 (GCVE-0-2026-4035)
Vulnerability from nvd – Published: 2026-06-03 07:18 – Updated: 2026-06-03 13:10
VLAI
Title
Environment Variable Resolution Vulnerability in mlflow/mlflow
Summary
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 issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
Severity
9.1 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.11.0
(custom)
|
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CVE-2026-3198 (GCVE-0-2026-3198)
Vulnerability from nvd – Published: 2026-06-02 02:50 – Updated: 2026-06-02 13:32
VLAI
Title
Improper Access Control in mlflow/mlflow
Summary
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 `ListGatewaySecretInfos`, `ListGatewayEndpoints`, and `ListGatewayModelDefinitions`. This allows any authenticated user, regardless of their assigned permissions, to enumerate all gateway secrets, endpoints, and model definitions. This vulnerability exposes sensitive information, such as API keys, endpoint configurations, and proprietary model definitions, to unauthorized users.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-284 - Improper Access Control
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2026-2651 (GCVE-0-2026-2651)
Vulnerability from nvd – Published: 2026-05-25 06:00 – Updated: 2026-05-27 03:55
VLAI
Title
Missing Authorization Validation in mlflow/mlflow
Summary
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/*` endpoints, enabling attackers to overwrite artifacts belonging to other users. This can lead to unauthorized cross-user writes, model supply chain poisoning, and arbitrary code execution when compromised models are loaded. The issue is resolved in version 3.10.0.
Severity
9 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-862 - Missing Authorization
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
|
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CVE-2026-2734 (GCVE-0-2026-2734)
Vulnerability from nvd – Published: 2026-05-21 03:49 – Updated: 2026-05-21 12:40
VLAI
Title
Authorization Bypass in SearchModelVersions in mlflow/mlflow
Summary
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 enumerate all model versions across all registered models, regardless of their permission level. The issue arises due to the absence of `SearchModelVersions` in the `BEFORE_REQUEST_VALIDATORS` and `AFTER_REQUEST_HANDLERS` for the REST API, and its omission from `GraphQLAuthorizationMiddleware.PROTECTED_FIELDS` for GraphQL. This vulnerability can expose sensitive information such as model names, version descriptions, source URIs, tags, and other metadata, potentially revealing proprietary or confidential details in multi-tenant environments. The issue is resolved in version 3.10.0.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-284 - Improper Access Control
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
|
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CVE-2026-4137 (GCVE-0-2026-4137)
Vulnerability from nvd – Published: 2026-05-18 20:26 – Updated: 2026-05-19 12:47
VLAI
Title
Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow
Summary
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/pyfunc/__init__.py` creates directories with group-writable permissions (0o770). These insecure permissions allow local attackers to tamper with model artifacts, such as cloudpickle-serialized Python objects, and achieve arbitrary code execution when the tampered artifacts are deserialized via `cloudpickle.load()`. This vulnerability is particularly critical in environments with shared NFS mounts, such as Databricks, where NFS is enabled by default. The issue is a continuation of the vulnerability class addressed in CVE-2025-10279, which was only partially fixed.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-378 - Creation of Temporary File With Insecure Permissions
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.11.0
(custom)
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CVE-2026-2652 (GCVE-0-2026-2652)
Vulnerability from nvd – Published: 2026-05-15 02:13 – Updated: 2026-05-15 13:22
VLAI
Title
Authentication Bypass in mlflow/mlflow
Summary
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 middleware only enforces authentication on `/gateway/` routes, leaving other routes such as the Job API (`/ajax-api/3.0/jobs/*`) and the OpenTelemetry trace ingestion API (`/v1/traces`) unprotected. This allows unauthenticated remote attackers to submit jobs, read job results, cancel running jobs, and inject arbitrary trace data into experiments. The issue arises from an architectural mismatch between Flask and FastAPI authentication mechanisms, where the `_find_fastapi_validator()` function fails to handle non-`/gateway/` paths, resulting in a complete authentication bypass. This vulnerability is fixed in version 3.10.0.
Severity
8.6 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-305 - Authentication Bypass by Primary Weakness
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2614 (GCVE-0-2026-2614)
Vulnerability from nvd – Published: 2026-05-11 19:02 – Updated: 2026-05-12 13:33
VLAI
Title
Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow
Summary
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 `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt status, leading to a complete confidentiality compromise. This issue is fixed in version 3.10.0.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2393 (GCVE-0-2026-2393)
Vulnerability from nvd – Published: 2026-05-11 16:30 – Updated: 2026-05-11 18:52
VLAI
Title
Server-Side Request Forgery (SSRF) in mlflow/mlflow
Summary
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()` function in `mlflow/webhooks/delivery.py` sends HTTP POST requests to this attacker-controlled URL. This allows an authenticated attacker to force the MLflow backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers. The lack of input sanitization, URL scheme filtering, or allowlist validation on the webhook URL enables exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
|
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CVE-2026-33866 (GCVE-0-2026-33866)
Vulnerability from nvd – Published: 2026-04-07 12:57 – Updated: 2026-04-14 15:12
VLAI
Title
Authorization Bypass in MLflow AJAX Endpoint
Summary
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 artifacts they are not authorized to access.
This issue affects MLflow version through 3.10.1
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-862 - Missing Authorization
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/mlflow/mlflow/pull/21708 | patch |
| https://cert.pl/en/posts/2026/04/CVE-2026-33865/ | third-party-advisory |
| https://afine.com/blogs/attacking-mlflow-how-ml-a… | exploittechnical-description |
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CVE-2026-33865 (GCVE-0-2026-33865)
Vulnerability from nvd – Published: 2026-04-07 12:57 – Updated: 2026-04-14 15:13
VLAI
Title
Stored XSS via unsafe YAML parsing in MLflow
Summary
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 the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim.
This issue affects MLflow version through 3.10.1
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/mlflow/mlflow/pull/21435 | patch |
| https://cert.pl/en/posts/2026/04/CVE-2026-33865/ | third-party-advisory |
| https://afine.com/blogs/attacking-mlflow-how-ml-a… | exploittechnical-description |
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CVE-2026-0545 (GCVE-0-2026-0545)
Vulnerability from nvd – Published: 2026-04-03 17:03 – Updated: 2026-04-03 17:49
VLAI
Title
Missing Authentication for Critical Function in mlflow/mlflow
Summary
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 (`MLFLOW_SERVER_ENABLE_JOB_EXECUTION=true`) and any job function is allowlisted, any network client can submit, read, search, and cancel jobs without credentials, bypassing basic-auth entirely. This can lead to unauthenticated remote code execution if allowed jobs perform privileged actions such as shell execution or filesystem changes. Even if jobs are deemed safe, this still constitutes an authentication bypass, potentially resulting in job spam, denial of service (DoS), or data exposure in job results.
Severity
9.1 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-306 - Missing Authentication for Critical Function
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-0596 (GCVE-0-2026-0596)
Vulnerability from nvd – Published: 2026-03-31 14:25 – Updated: 2026-04-01 03:55
VLAI
Title
Command Injection in mlflow/mlflow
Summary
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 metacharacters, such as `$()` or backticks, it allows for command substitution and execution of attacker-controlled commands. This vulnerability affects the latest version of mlflow/mlflow and can lead to privilege escalation if a higher-privileged service serves models from a directory writable by lower-privileged users.
Severity
9.6 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
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| mlflow | mlflow/mlflow |
Affected:
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(custom)
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CVE-2025-15379 (GCVE-0-2025-15379)
Vulnerability from nvd – Published: 2026-03-30 07:16 – Updated: 2026-03-31 13:50
VLAI
Title
Command Injection in mlflow/mlflow
Summary
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 the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.
Severity
10 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.8.2
(custom)
|
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CVE-2025-15036 (GCVE-0-2025-15036)
Vulnerability from nvd – Published: 2026-03-30 01:16 – Updated: 2026-03-31 03:55
VLAI
Title
Path Traversal Vulnerability in mlflow/mlflow
Summary
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 validation of tar member paths during extraction. An attacker with control over the tar.gz file can exploit this issue to overwrite arbitrary files or gain elevated privileges, potentially escaping the sandbox directory in multi-tenant or shared cluster environments.
Severity
9.6 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-29 - Path Traversal: '\..\filename'
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.9.0
(custom)
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CVE-2026-10803 (GCVE-0-2026-10803)
Vulnerability from cvelistv5 – Published: 2026-06-04 11:45 – Updated: 2026-06-04 12:55
VLAI
Title
MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash
Summary
A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/368252 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/368252/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-10803 | third-party-advisory |
| https://vuldb.com/submit/831462 | third-party-advisory |
| https://github.com/mlflow/mlflow/issues/22419 | exploitissue-tracking |
| https://github.com/mlflow/mlflow/pull/22420 | issue-trackingpatch |
| https://github.com/mlflow/mlflow/ | product |
Impacted products
Credits
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CVE-2026-4035 (GCVE-0-2026-4035)
Vulnerability from cvelistv5 – Published: 2026-06-03 07:18 – Updated: 2026-06-03 13:10
VLAI
Title
Environment Variable Resolution Vulnerability in mlflow/mlflow
Summary
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 issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
Severity
9.1 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.11.0
(custom)
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CVE-2026-3198 (GCVE-0-2026-3198)
Vulnerability from cvelistv5 – Published: 2026-06-02 02:50 – Updated: 2026-06-02 13:32
VLAI
Title
Improper Access Control in mlflow/mlflow
Summary
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 `ListGatewaySecretInfos`, `ListGatewayEndpoints`, and `ListGatewayModelDefinitions`. This allows any authenticated user, regardless of their assigned permissions, to enumerate all gateway secrets, endpoints, and model definitions. This vulnerability exposes sensitive information, such as API keys, endpoint configurations, and proprietary model definitions, to unauthorized users.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-284 - Improper Access Control
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2026-2651 (GCVE-0-2026-2651)
Vulnerability from cvelistv5 – Published: 2026-05-25 06:00 – Updated: 2026-05-27 03:55
VLAI
Title
Missing Authorization Validation in mlflow/mlflow
Summary
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/*` endpoints, enabling attackers to overwrite artifacts belonging to other users. This can lead to unauthorized cross-user writes, model supply chain poisoning, and arbitrary code execution when compromised models are loaded. The issue is resolved in version 3.10.0.
Severity
9 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-862 - Missing Authorization
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2734 (GCVE-0-2026-2734)
Vulnerability from cvelistv5 – Published: 2026-05-21 03:49 – Updated: 2026-05-21 12:40
VLAI
Title
Authorization Bypass in SearchModelVersions in mlflow/mlflow
Summary
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 enumerate all model versions across all registered models, regardless of their permission level. The issue arises due to the absence of `SearchModelVersions` in the `BEFORE_REQUEST_VALIDATORS` and `AFTER_REQUEST_HANDLERS` for the REST API, and its omission from `GraphQLAuthorizationMiddleware.PROTECTED_FIELDS` for GraphQL. This vulnerability can expose sensitive information such as model names, version descriptions, source URIs, tags, and other metadata, potentially revealing proprietary or confidential details in multi-tenant environments. The issue is resolved in version 3.10.0.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-284 - Improper Access Control
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-4137 (GCVE-0-2026-4137)
Vulnerability from cvelistv5 – Published: 2026-05-18 20:26 – Updated: 2026-05-19 12:47
VLAI
Title
Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow
Summary
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/pyfunc/__init__.py` creates directories with group-writable permissions (0o770). These insecure permissions allow local attackers to tamper with model artifacts, such as cloudpickle-serialized Python objects, and achieve arbitrary code execution when the tampered artifacts are deserialized via `cloudpickle.load()`. This vulnerability is particularly critical in environments with shared NFS mounts, such as Databricks, where NFS is enabled by default. The issue is a continuation of the vulnerability class addressed in CVE-2025-10279, which was only partially fixed.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-378 - Creation of Temporary File With Insecure Permissions
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.11.0
(custom)
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CVE-2026-2652 (GCVE-0-2026-2652)
Vulnerability from cvelistv5 – Published: 2026-05-15 02:13 – Updated: 2026-05-15 13:22
VLAI
Title
Authentication Bypass in mlflow/mlflow
Summary
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 middleware only enforces authentication on `/gateway/` routes, leaving other routes such as the Job API (`/ajax-api/3.0/jobs/*`) and the OpenTelemetry trace ingestion API (`/v1/traces`) unprotected. This allows unauthenticated remote attackers to submit jobs, read job results, cancel running jobs, and inject arbitrary trace data into experiments. The issue arises from an architectural mismatch between Flask and FastAPI authentication mechanisms, where the `_find_fastapi_validator()` function fails to handle non-`/gateway/` paths, resulting in a complete authentication bypass. This vulnerability is fixed in version 3.10.0.
Severity
8.6 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-305 - Authentication Bypass by Primary Weakness
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2614 (GCVE-0-2026-2614)
Vulnerability from cvelistv5 – Published: 2026-05-11 19:02 – Updated: 2026-05-12 13:33
VLAI
Title
Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow
Summary
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 `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt status, leading to a complete confidentiality compromise. This issue is fixed in version 3.10.0.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2393 (GCVE-0-2026-2393)
Vulnerability from cvelistv5 – Published: 2026-05-11 16:30 – Updated: 2026-05-11 18:52
VLAI
Title
Server-Side Request Forgery (SSRF) in mlflow/mlflow
Summary
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()` function in `mlflow/webhooks/delivery.py` sends HTTP POST requests to this attacker-controlled URL. This allows an authenticated attacker to force the MLflow backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers. The lack of input sanitization, URL scheme filtering, or allowlist validation on the webhook URL enables exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-33866 (GCVE-0-2026-33866)
Vulnerability from cvelistv5 – Published: 2026-04-07 12:57 – Updated: 2026-04-14 15:12
VLAI
Title
Authorization Bypass in MLflow AJAX Endpoint
Summary
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 artifacts they are not authorized to access.
This issue affects MLflow version through 3.10.1
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-862 - Missing Authorization
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/mlflow/mlflow/pull/21708 | patch |
| https://cert.pl/en/posts/2026/04/CVE-2026-33865/ | third-party-advisory |
| https://afine.com/blogs/attacking-mlflow-how-ml-a… | exploittechnical-description |
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CVE-2026-33865 (GCVE-0-2026-33865)
Vulnerability from cvelistv5 – Published: 2026-04-07 12:57 – Updated: 2026-04-14 15:13
VLAI
Title
Stored XSS via unsafe YAML parsing in MLflow
Summary
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 the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim.
This issue affects MLflow version through 3.10.1
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/mlflow/mlflow/pull/21435 | patch |
| https://cert.pl/en/posts/2026/04/CVE-2026-33865/ | third-party-advisory |
| https://afine.com/blogs/attacking-mlflow-how-ml-a… | exploittechnical-description |
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CVE-2026-0545 (GCVE-0-2026-0545)
Vulnerability from cvelistv5 – Published: 2026-04-03 17:03 – Updated: 2026-04-03 17:49
VLAI
Title
Missing Authentication for Critical Function in mlflow/mlflow
Summary
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 (`MLFLOW_SERVER_ENABLE_JOB_EXECUTION=true`) and any job function is allowlisted, any network client can submit, read, search, and cancel jobs without credentials, bypassing basic-auth entirely. This can lead to unauthenticated remote code execution if allowed jobs perform privileged actions such as shell execution or filesystem changes. Even if jobs are deemed safe, this still constitutes an authentication bypass, potentially resulting in job spam, denial of service (DoS), or data exposure in job results.
Severity
9.1 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-306 - Missing Authentication for Critical Function
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-0596 (GCVE-0-2026-0596)
Vulnerability from cvelistv5 – Published: 2026-03-31 14:25 – Updated: 2026-04-01 03:55
VLAI
Title
Command Injection in mlflow/mlflow
Summary
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 metacharacters, such as `$()` or backticks, it allows for command substitution and execution of attacker-controlled commands. This vulnerability affects the latest version of mlflow/mlflow and can lead to privilege escalation if a higher-privileged service serves models from a directory writable by lower-privileged users.
Severity
9.6 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2025-15379 (GCVE-0-2025-15379)
Vulnerability from cvelistv5 – Published: 2026-03-30 07:16 – Updated: 2026-03-31 13:50
VLAI
Title
Command Injection in mlflow/mlflow
Summary
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 the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.
Severity
10 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.8.2
(custom)
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CVE-2025-15036 (GCVE-0-2025-15036)
Vulnerability from cvelistv5 – Published: 2026-03-30 01:16 – Updated: 2026-03-31 03:55
VLAI
Title
Path Traversal Vulnerability in mlflow/mlflow
Summary
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 validation of tar member paths during extraction. An attacker with control over the tar.gz file can exploit this issue to overwrite arbitrary files or gain elevated privileges, potentially escaping the sandbox directory in multi-tenant or shared cluster environments.
Severity
9.6 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-29 - Path Traversal: '\..\filename'
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.9.0
(custom)
|
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