Description
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.
No analysis available yet.
Remediation
No remediation available yet.
Tracking
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Advisories
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2024-2087 | Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with. |
Github GHSA |
GHSA-j8mg-pqc5-x9gj | MLFlow unsafe deserialization |
References
History
Mon, 14 Jul 2025 13:45:00 +0000
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Sun, 13 Jul 2025 13:45:00 +0000
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Mon, 03 Feb 2025 15:15:00 +0000
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Lfprojects
Lfprojects mlflow |
|
| CPEs | cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Lfprojects
Lfprojects mlflow |
Status: PUBLISHED
Assigner: HiddenLayer
Published:
Updated: 2024-08-02T03:43:51.015Z
Reserved: 2024-05-31T14:16:48.807Z
Link: CVE-2024-37057
Updated: 2024-08-02T03:43:51.015Z
Status : Analyzed
Published: 2024-06-04T12:15:11.800
Modified: 2025-02-03T14:45:23.600
Link: CVE-2024-37057
No data.
OpenCVE Enrichment
No data.
Weaknesses
EUVD
Github GHSA