{"id":"CVE-2026-4137","aliases":["BIT-mlflow-2026-4137","CLSA-2026-1780879898","CLSA-2026-1787213730","EUVD-2026-30807","GHSA-f2m9-wcf4-cwwx","PYSEC-2026-2655"],"status":"published","title":"Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow","description":"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":{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-09","score":0.00193,"percentile":0.09053,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-378"],"published":"2026-05-18T20:26:23Z","modified":"2026-10-30T02:15:07Z","fixes":[{"ecosystem":"PyPI","package":"mlflow","fixed_in":["3.11.0"],"sources":["ghsa","osv"]},{"ecosystem":"Bitnami","package":"mlflow","fixed_in":["3.11.0"],"sources":["osv"]},{"ecosystem":"TuxCare:PyPI","package":"mlflow","fixed_in":["2.22.4.post4+tuxcare"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.26.0"},{"fixed":"3.11.0"}]}]},{"source":"osv","ecosystem":"Bitnami","package":"mlflow","ranges":[{"type":"SEMVER","events":[{"introduced":"0"},{"fixed":"3.11.0"}]}]},{"source":"osv","ecosystem":"TuxCare:PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.22.4"},{"fixed":"2.22.4.post4+tuxcare"}]}],"versions":["2.22.4","2.22.4.post1+tuxcare","2.22.4.post2+tuxcare","2.22.4.post3+tuxcare"]},{"source":"osv","ecosystem":"TuxCare:PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.1"},{"fixed":"2.9.1.post5+tuxcare"}]}],"versions":["2.9.1","2.9.1.post1+tuxcare","2.9.1.post2+tuxcare","2.9.1.post3+tuxcare","2.9.1.post4+tuxcare"],"bundled":4},{"source":"osv","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.26.0"},{"fixed":"3.11.0"}]}],"versions":["1.26.0","1.26.1","1.27.0","1.28.0","1.29.0","1.30.0","1.30.1","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","3.10.0","3.10.0rc0","3.10.1","3.11.0rc0","3.11.0rc1","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"]},{"source":"osv","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.11.0"}]}],"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","3.10.0","3.10.0rc0","3.10.1","3.11.0rc0","3.11.0rc1","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"]}],"products":[{"vendor":"lfprojects","product":"mlflow"},{"vendor":"mlflow","product":"mlflow/mlflow"}],"references":[{"url":"https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6","tags":["exploit","Exploit","Third Party Advisory","advisory","web"]},{"url":"https://github.com/mlflow/mlflow/commit/1dcbb0c2fbd1f446c328830e601ca13a28219b8a","tags":["Patch","fix","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-4137","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-4x5p-f36r-mxxr","tags":["advisory"]},{"url":"https://github.com/mlflow/mlflow/commit/bd8854fb2b4b168a4384ebddc6c4a0b5d56aff01","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2026-2655.yaml","tags":["web"]},{"url":"https://github.com/advisories/GHSA-f2m9-wcf4-cwwx","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/4xxx/CVE-2026-4137.json","tags":["advisory"]},{"url":"https://github.com/mlflow/mlflow","tags":["package"]},{"url":"https://pypi.org/project/mlflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2026-4137","title":"Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow","description":"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.","status":"published","published":"2026-05-18T20:26:23.104Z","modified":"2026-05-19T12:47:53.221Z","cvss":[{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-378"],"updated_at":"2026-11-02T14:19:58.944663Z"}],"euvd":[{"id":"EUVD-2026-30807","description":"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.","status":"published","published":"2026-05-18T20:26:23Z","modified":"2026-05-19T12:47:53Z","cvss":[{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T18:21:15.688012Z"}],"ghsa":[{"id":"GHSA-f2m9-wcf4-cwwx","title":"MLFlow Creates a Temporary File With Insecure Permissions ","description":"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.","status":"published","published":"2026-05-18T21:31:53Z","modified":"2026-09-01T01:05:37Z","cvss":[{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-378"],"updated_at":"2026-11-02T14:41:08.980668Z"}],"nvd":[{"id":"CVE-2026-4137","description":"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.","status":"published","published":"2026-05-18T21:16:40.71Z","modified":"2026-07-24T12:10:00.21Z","cvss":[{"version":"3.1","score":7.8,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"primary"},{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"}],"cwes":["CWE-378"],"updated_at":"2026-11-02T14:12:19.39893Z"}],"osv":[{"id":"CVE-2026-4137","title":"Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow","description":"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.","status":"published","published":"2026-05-18T20:26:23.104Z","modified":"2026-10-28T02:30:53.402503419Z","cvss":[{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-378"],"updated_at":"2026-11-02T15:45:03.764807Z"},{"id":"GHSA-f2m9-wcf4-cwwx","title":"MLFlow Creates a Temporary File With Insecure Permissions ","description":"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.","status":"published","published":"2026-05-18T21:31:53Z","modified":"2026-09-01T01:15:07.929492619Z","cvss":[{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-378"],"updated_at":"2026-11-02T15:46:45.639885Z"},{"id":"PYSEC-2026-2655","title":"MLFlow Creates a Temporary File With Insecure Permissions ","description":"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.","status":"published","published":"2026-07-13T15:19:09.106875Z","modified":"2026-07-13T16:43:33.416174314Z","cvss":[{"version":"3.0","score":7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:55.961245Z"},{"id":"BIT-mlflow-2026-4137","title":"Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow","description":"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.","status":"published","published":"2026-06-05T05:49:11.238Z","modified":"2026-09-08T08:48:13.662298647Z","updated_at":"2026-11-02T15:28:33.072289Z"},{"id":"CLSA-2026-1780879898","title":"TuxCare security update for mlflow (1 CVE)","description":"TuxCare rebuilt mlflow to address 1 CVE. Fixed in 2.22.4.post4+tuxcare.","status":"published","published":"2026-08-04T14:52:35Z","modified":"2026-10-30T02:15:07.025865071Z","updated_at":"2026-11-02T15:43:45.445699Z"},{"id":"CLSA-2026-1787213730","title":"TuxCare security update for mlflow (4 CVEs)","description":"TuxCare rebuilt mlflow to address 4 CVEs. Fixed in 2.9.1.post5+tuxcare.","status":"published","published":"2026-08-20T08:15:30Z","modified":"2026-10-15T09:48:05.644138005Z","updated_at":"2026-11-02T15:43:47.20725Z"}]}}