CVE-2026-0596: CWE-78 Improper Neutralization of Special Elements used in an OS Command in mlflow mlflow/mlflow
CVE-2026-0596 is a critical command injection vulnerability in mlflow/mlflow when serving a model with the enable_mlserver option set to true. The vulnerability arises because the model_uri parameter is embedded directly into a shell command executed via bash without proper sanitization. This allows an attacker to inject shell metacharacters to execute arbitrary commands. Exploitation can lead to full confidentiality, integrity, and availability compromise, including potential privilege escalation if the service runs with elevated privileges and serves models from writable directories by lower-privileged users.
AI Analysis
Technical Summary
This vulnerability in mlflow/mlflow involves improper neutralization of special elements used in an OS command (CWE-78). Specifically, when serving a model with enable_mlserver=True, the model_uri is passed unsanitized into a bash -c shell command. If the model_uri contains shell metacharacters such as $() or backticks, it enables command substitution and arbitrary command execution. The vulnerability affects the latest version of mlflow/mlflow and can lead to privilege escalation under certain conditions. The CVSS 3.0 base score is 9.6, reflecting its critical severity with network attack vector, low attack complexity, no privileges required, no user interaction, and impacts on confidentiality, integrity, and availability.
Potential Impact
Successful exploitation allows an attacker to execute arbitrary commands on the host running mlflow/mlflow with the privileges of the service. This can lead to complete system compromise, including privilege escalation if the service runs with elevated rights and serves models from directories writable by lower-privileged users. The impact includes full loss of confidentiality, integrity, and availability of the affected system.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid enabling enable_mlserver=True or ensure that model_uri inputs are strictly validated and sanitized to prevent shell metacharacter injection. Additionally, run the mlflow service with least privilege and avoid serving models from directories writable by untrusted or lower-privileged users.
CVE-2026-0596: CWE-78 Improper Neutralization of Special Elements used in an OS Command in mlflow mlflow/mlflow
Description
CVE-2026-0596 is a critical command injection vulnerability in mlflow/mlflow when serving a model with the enable_mlserver option set to true. The vulnerability arises because the model_uri parameter is embedded directly into a shell command executed via bash without proper sanitization. This allows an attacker to inject shell metacharacters to execute arbitrary commands. Exploitation can lead to full confidentiality, integrity, and availability compromise, including potential privilege escalation if the service runs with elevated privileges and serves models from writable directories by lower-privileged users.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in mlflow/mlflow involves improper neutralization of special elements used in an OS command (CWE-78). Specifically, when serving a model with enable_mlserver=True, the model_uri is passed unsanitized into a bash -c shell command. If the model_uri contains shell metacharacters such as $() or backticks, it enables command substitution and arbitrary command execution. The vulnerability affects the latest version of mlflow/mlflow and can lead to privilege escalation under certain conditions. The CVSS 3.0 base score is 9.6, reflecting its critical severity with network attack vector, low attack complexity, no privileges required, no user interaction, and impacts on confidentiality, integrity, and availability.
Potential Impact
Successful exploitation allows an attacker to execute arbitrary commands on the host running mlflow/mlflow with the privileges of the service. This can lead to complete system compromise, including privilege escalation if the service runs with elevated rights and serves models from directories writable by lower-privileged users. The impact includes full loss of confidentiality, integrity, and availability of the affected system.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid enabling enable_mlserver=True or ensure that model_uri inputs are strictly validated and sanitized to prevent shell metacharacter injection. Additionally, run the mlflow service with least privilege and avoid serving models from directories writable by untrusted or lower-privileged users.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2026-01-05T03:58:44.787Z
- Cvss Version
- 3.0
- State
- PUBLISHED
Threat ID: 69cbdff9e6bfc5ba1d1e69b1
Added to database: 3/31/2026, 2:53:45 PM
Last enriched: 4/8/2026, 4:17:01 AM
Last updated: 5/16/2026, 8:54:03 AM
Views: 52
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