PYSEC-2026-2654
Vulnerability from pysec - Published: 2026-07-13 15:15 - Updated: 2026-07-13 16:04
VLAI
Details
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)
Impacted products
| Name | purl | mlflow | pkg:pypi/mlflow |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow",
"purl": "pkg:pypi/mlflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.10.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.1.0",
"0.2.0",
"0.2.1",
"0.3.0",
"0.4.0",
"0.4.1",
"0.4.2",
"0.5.0",
"0.5.1",
"0.5.2",
"0.6.0",
"0.7.0",
"0.8.0",
"0.8.1",
"0.8.2",
"0.9.0",
"0.9.0.1",
"0.9.1",
"1.0.0",
"1.1.0",
"1.1.1.dev0",
"1.10.0",
"1.11.0",
"1.12.0",
"1.12.1",
"1.13",
"1.13.1",
"1.14.0",
"1.14.1",
"1.15.0",
"1.16.0",
"1.17.0",
"1.18.0",
"1.19.0",
"1.2.0",
"1.20.0",
"1.20.1",
"1.20.2",
"1.21.0",
"1.22.0",
"1.23.0",
"1.23.1",
"1.24.0",
"1.25.0",
"1.25.1",
"1.26.0",
"1.26.1",
"1.27.0",
"1.28.0",
"1.29.0",
"1.3.0",
"1.30.0",
"1.30.1",
"1.4.0",
"1.5.0",
"1.6.0",
"1.7.0",
"1.7.1",
"1.7.2",
"1.8.0",
"1.9.0",
"1.9.1",
"2.0.0",
"2.0.0rc0",
"2.0.1",
"2.1.0",
"2.1.1",
"2.10.0",
"2.10.1",
"2.10.2",
"2.11.0",
"2.11.1",
"2.11.2",
"2.11.3",
"2.11.4",
"2.12.0",
"2.12.1",
"2.12.2",
"2.13.0",
"2.13.1",
"2.13.2",
"2.14.0",
"2.14.0rc0",
"2.14.1",
"2.14.2",
"2.14.2.dev0",
"2.14.3",
"2.15.0",
"2.15.0rc0",
"2.15.1",
"2.16.0",
"2.16.1",
"2.16.2",
"2.17.0",
"2.17.0rc0",
"2.17.1",
"2.17.2",
"2.18.0",
"2.18.0rc0",
"2.19.0",
"2.19.0rc0",
"2.2.0",
"2.2.1",
"2.2.2",
"2.20.0",
"2.20.0rc0",
"2.20.1",
"2.20.2",
"2.20.3",
"2.20.4",
"2.21.0",
"2.21.0rc0",
"2.21.1",
"2.21.2",
"2.21.3",
"2.22.0",
"2.22.0rc0",
"2.22.1",
"2.22.2",
"2.22.3",
"2.22.4",
"2.22.5",
"2.3.0",
"2.3.1",
"2.3.2",
"2.4.0",
"2.4.1",
"2.4.2",
"2.5.0",
"2.6.0",
"2.7.0",
"2.7.1",
"2.8.0",
"2.8.1",
"2.9.0",
"2.9.1",
"2.9.2",
"3.0.0",
"3.0.0rc0",
"3.0.0rc1",
"3.0.0rc2",
"3.0.0rc3",
"3.0.1",
"3.1.0",
"3.1.0rc0",
"3.1.1",
"3.1.2",
"3.1.3",
"3.1.4",
"3.10.0rc0",
"3.2.0",
"3.2.0rc0",
"3.3.0",
"3.3.0rc0",
"3.3.1",
"3.3.2",
"3.4.0",
"3.4.0rc0",
"3.5.0",
"3.5.0rc0",
"3.5.1",
"3.6.0",
"3.6.0rc0",
"3.7.0",
"3.7.0rc0",
"3.8.0",
"3.8.0rc0",
"3.8.1",
"3.9.0",
"3.9.0rc0"
]
}
],
"aliases": [
"CVE-2026-2614",
"GHSA-42h5-h8qh-vv9v"
],
"details": "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\u0027s 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\u0027s prompt status, leading to a complete confidentiality compromise. This issue is fixed in version 3.10.0.",
"id": "PYSEC-2026-2654",
"modified": "2026-07-13T16:04:53.689529Z",
"published": "2026-07-13T15:15:45.637149Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-2614"
},
{
"type": "WEB",
"url": "https://github.com/mlflow/mlflow/commit/6e801f4259d96804c73107315b24cef0f6aa115a"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/19380271-3fbf-4beb-987e-6fd7069c55e6"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/mlflow"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-42h5-h8qh-vv9v"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "MLflow allows an unauthenticated remote attacker to read arbitrary files from the server\u0027s filesystem"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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