MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source
### Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in 3.10.0 added a prompt-specific branch to the `CreateModelVersion` handler that rejects `file://` URIs and absolute paths but runs path validation only when the source carries a URL scheme. A schemeless value such as `../../etc`, a plain relative name, `.`, a percent-encoded path, or a Windows drive-letter path is therefore stored unchanged as the model version’s artifact location, and the `model-versions/get-artifact endpoint` later serves files from it with the privileges of the server process. The tag check also keyed on the presence of the `mlflow.prompt.is_prompt` tag rather than its value, so a false value still selected the weaker branch. Servers using `--app-name basic-auth` are also affected: any authenticated user can create a registered model, so a low-privilege account can use this to read the authentication database, including the admin password hash. Affected: MLflow 3.10.0 through 3.16.1. Fixed in 3.17.0 by [mlflow/mlflow#25870](https://github.com/mlflow/mlflow/pull/25870), which accepts only MLflow’s own placeholder sources for prompt versions and requires the prompt tag to be `true`. ### Details When creating a model version with the `mlflow.prompt.is_prompt` tag se
- Products
- mlflow
- Affected versions
- 3.10.0, 3.10.1, 3.11.0, 3.11.0rc0, 3.11.0rc1, 3.11.1, 3.12.0, 3.12.0rc0, 3.13.0, 3.13.0rc0, 3.14.0, 3.15.0, 3.15.1, 3.15.2, 3.16.0, 3.16.1
- Fixed versions
- 3.17.0
- CVEs
- CVE-2026-116690
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 2 Nov 2026, 14:56 UTC · Revision 1
Source evidence
MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source
core-osv · Original sourcePublished 27 Oct 2026, 21:26 UTC
### Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in 3.10.0 added a prompt-specific branch to the `CreateModelVersion` handler that rejects `file://` URIs and absolute paths but runs path validation only when the source carries a URL scheme. A schemeless value such as `../../etc`, a plain relative name, `.`, a percent-encoded path, or a Windows drive-letter path is therefore stored unchanged as the model version’s artifact location, and the `model-versions/get-artifact endpoint` later serves files from it with the privileges of the server process. The tag check also keyed on the presence of the `mlflow.prompt.is_prompt` tag rather than its value, so a false value still selected the weaker branch. Servers using `--app-name basic-auth` are also affected: any authenticated user can create a registered model, so a low-privilege account can use this to read the authentication database, including the admin password hash. Affected: MLflow 3.10.0 through 3.16.1. Fixed in 3.17.0 by [mlflow/mlflow#25870](https://github.com/mlflow/mlflow/pull/25870), which accepts only MLflow’s own placeholder sources for prompt versions and requires the prompt tag to be `true`. ### Details When creating a model version with the `mlflow.prompt.is_prompt` tag se
osv:GHSA-m65p-9j7q-6w33
mlflow
Fixed versions: 3.17.0
Complete source record
{
"id": "bffa015a08608ee38f7a0b45848a526981826e3b9a2b4d80950b5d7dfae97593",
"url": "https://osv.dev/vulnerability/GHSA-m65p-9j7q-6w33",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source",
"summary": "### Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in 3.10.0 added a prompt-specific branch to the `CreateModelVersion` handler that rejects `file://` URIs and absolute paths but runs path validation only when the source carries a URL scheme. A schemeless value such as `../../etc`, a plain relative name, `.`, a percent-encoded path, or a Windows drive-letter path is therefore stored unchanged as the model version’s artifact location, and the `model-versions/get-artifact endpoint` later serves files from it with the privileges of the server process. The tag check also keyed on the presence of the `mlflow.prompt.is_prompt` tag rather than its value, so a false value still selected the weaker branch. Servers using `--app-name basic-auth` are also affected: any authenticated user can create a registered model, so a low-privilege account can use this to read the authentication database, including the admin password hash. Affected: MLflow 3.10.0 through 3.16.1. Fixed in 3.17.0 by [mlflow/mlflow#25870](https://github.com/mlflow/mlflow/pull/25870), which accepts only MLflow’s own placeholder sources for prompt versions and requires the prompt tag to be `true`. ### Details When creating a model version with the `mlflow.prompt.is_prompt` tag se",
"evidence": "osv:GHSA-m65p-9j7q-6w33",
"products": [
{
"name": {
"value": "mlflow",
"evidence": "/affected/0/package/name"
},
"prerequisites": [],
"fixed_versions": [
{
"value": "3.17.0",
"evidence": "/affected/0/ranges"
}
],
"affected_versions": [
{
"value": "3.10.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.10.1",
"evidence": "/affected/0/versions"
},
{
"value": "3.11.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.11.0rc0",
"evidence": "/affected/0/versions"
},
{
"value": "3.11.0rc1",
"evidence": "/affected/0/versions"
},
{
"value": "3.11.1",
"evidence": "/affected/0/versions"
},
{
"value": "3.12.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.12.0rc0",
"evidence": "/affected/0/versions"
},
{
"value": "3.13.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.13.0rc0",
"evidence": "/affected/0/versions"
},
{
"value": "3.14.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.15.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.15.1",
"evidence": "/affected/0/versions"
},
{
"value": "3.15.2",
"evidence": "/affected/0/versions"
},
{
"value": "3.16.0",
"evidence": "/affected/0/versions"
},
{
"value": "3.16.1",
"evidence": "/affected/0/versions"
}
]
}
],
"severity": "high",
"structured": {
"id": "GHSA-m65p-9j7q-6w33",
"aliases": [
"CVE-2026-116690",
"GHSA-m65p-9j7q-6w33"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
}
],
"affected": [
{
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "3.10.0"
},
{
"fixed": "3.17.0"
}
]
}
],
"package": {
"name": "mlflow",
"purl": "pkg:pypi/mlflow",
"ecosystem": "PyPI"
},
"versions": [
"3.10.0",
"3.10.1",
"3.11.0",
"3.11.0rc0",
"3.11.0rc1",
"3.11.1",
"3.12.0",
"3.12.0rc0",
"3.13.0",
"3.13.0rc0",
"3.14.0",
"3.15.0",
"3.15.1",
"3.15.2",
"3.16.0",
"3.16.1"
],
"database_specific": {
"source": "https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/10/GHSA-m65p-9j7q-6w33/GHSA-m65p-9j7q-6w33.json"
}
}
],
"modified": "2026-10-27T21:45:04.271041704Z",
"provider": "osv",
"references": [
"https://github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33",
"https://github.com/mlflow/mlflow/pull/25870",
"https://github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772",
"https://github.com/mlflow/mlflow",
"https://github.com/mlflow/mlflow/releases/tag/v3.17.0"
],
"provider_metadata": {
"cwe_ids": [
"CWE-22"
],
"severity": "HIGH",
"github_reviewed": true,
"nvd_published_at": null,
"github_reviewed_at": "2026-10-27T21:26:56Z"
}
},
"related_cves": [
{
"value": "CVE-2026-116690",
"evidence": "/aliases"
}
],
"security_relevant": true,
"severity_evidence": "/database_specific/severity"
},
"source_id": "core-osv",
"document_id": 486112,
"published_at": "2026-10-27T21:26:56+00:00"
}