Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted… (CVE-2024-37060)
A deserialization vulnerability exists in the MLflow platform versions 1.27.0 and newer up to but not including 2.14.2. This flaw allows a maliciously crafted Recipe to execute arbitrary code on an end user's system when run. The vulnerability is classified as high severity. A patch is available to address this issue.
AI Analysis
Technical Summary
The MLflow platform contains a deserialization of untrusted data vulnerability in versions starting from 1.27.0 up to but excluding 2.14.2. This vulnerability enables attackers to craft malicious Recipes that, when executed by an end user, can lead to arbitrary code execution on the affected system. This type of flaw arises from unsafe deserialization practices where untrusted input is deserialized without proper validation or sanitization. The vulnerability has been assigned CVE-2024-37060 and is recognized as high severity. A patch is available to remediate the issue.
Potential Impact
Successful exploitation allows arbitrary code execution on the end user's system running the vulnerable MLflow versions. This can lead to full compromise of the affected system depending on the privileges of the MLflow process.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade MLflow to version 2.14.2 or later to remediate this issue. Until patched, avoid running untrusted Recipes to prevent exploitation.
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted… (CVE-2024-37060)
Description
A deserialization vulnerability exists in the MLflow platform versions 1.27.0 and newer up to but not including 2.14.2. This flaw allows a maliciously crafted Recipe to execute arbitrary code on an end user's system when run. The vulnerability is classified as high severity. A patch is available to address this issue.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The MLflow platform contains a deserialization of untrusted data vulnerability in versions starting from 1.27.0 up to but excluding 2.14.2. This vulnerability enables attackers to craft malicious Recipes that, when executed by an end user, can lead to arbitrary code execution on the affected system. This type of flaw arises from unsafe deserialization practices where untrusted input is deserialized without proper validation or sanitization. The vulnerability has been assigned CVE-2024-37060 and is recognized as high severity. A patch is available to remediate the issue.
Potential Impact
Successful exploitation allows arbitrary code execution on the end user's system running the vulnerable MLflow versions. This can lead to full compromise of the affected system depending on the privileges of the MLflow process.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade MLflow to version 2.14.2 or later to remediate this issue. Until patched, avoid running untrusted Recipes to prevent exploitation.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BIT-mlflow-2024-37060
- Osv Schema Version
- 1.5.0
- Aliases
- ["CVE-2024-37060"]
- Ecosystems
- ["Bitnami"]
- Database Specific Severity
- High
Threat ID: 6a885f2dacd9273b493f82d2
Added to database: 08/21/2026, 14:22:37 UTC
Last enriched: 08/21/2026, 14:41:10 UTC
Last updated: 09/10/2026, 19:36:48 UTC
Views: 13
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