Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded… (CVE-2024-37058)
A deserialization vulnerability exists in MLflow platform versions 2.5.0 through before 2.14.2. This flaw allows a maliciously crafted Langchain AgentExecutor model to be uploaded and subsequently executed, enabling arbitrary code execution on the end user's system upon interaction.
AI Analysis
Technical Summary
CVE-2024-37058 is a deserialization of untrusted data vulnerability affecting MLflow platform versions starting from 2.5.0 up to but not including 2.14.2. The vulnerability arises when a malicious Langchain AgentExecutor model is uploaded, which can trigger arbitrary code execution on the system of the user interacting with the model. This issue is classified as high severity and a patch is available to address it.
Potential Impact
Successful exploitation allows an attacker to execute arbitrary code on the end user's system by leveraging a maliciously uploaded Langchain AgentExecutor model. This can lead to full compromise of the affected system depending on the privileges of the user running the MLflow platform.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade MLflow to version 2.14.2 or later to remediate this issue. Since this is not a cloud service, remediation requires applying the patch or upgrading the software in the affected environment.
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded… (CVE-2024-37058)
Description
A deserialization vulnerability exists in MLflow platform versions 2.5.0 through before 2.14.2. This flaw allows a maliciously crafted Langchain AgentExecutor model to be uploaded and subsequently executed, enabling arbitrary code execution on the end user's system upon interaction.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-37058 is a deserialization of untrusted data vulnerability affecting MLflow platform versions starting from 2.5.0 up to but not including 2.14.2. The vulnerability arises when a malicious Langchain AgentExecutor model is uploaded, which can trigger arbitrary code execution on the system of the user interacting with the model. This issue is classified as high severity and a patch is available to address it.
Potential Impact
Successful exploitation allows an attacker to execute arbitrary code on the end user's system by leveraging a maliciously uploaded Langchain AgentExecutor model. This can lead to full compromise of the affected system depending on the privileges of the user running the MLflow platform.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade MLflow to version 2.14.2 or later to remediate this issue. Since this is not a cloud service, remediation requires applying the patch or upgrading the software in the affected environment.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BIT-mlflow-2024-37058
- Osv Schema Version
- 1.5.0
- Aliases
- ["CVE-2024-37058"]
- Ecosystems
- ["Bitnami"]
- Database Specific Severity
- High
Threat ID: 6a885f2facd9273b493f830c
Added to database: 08/21/2026, 14:22:39 UTC
Last enriched: 08/21/2026, 14:41:23 UTC
Last updated: 09/10/2026, 19:36:48 UTC
Views: 23
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