CVE-2026-30898: CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection') in Apache Software Foundation Apache Airflow
An example of BashOperator in Airflow documentation suggested a way of passing dag_run.conf in the way that could cause unsanitized user input to be used to escalate privileges of UI user to allow execute code on worker. Users should review if any of their own DAGs have adopted this incorrect advice.
AI Analysis
Technical Summary
This vulnerability involves improper neutralization of special elements used in a command (CWE-77) within Apache Airflow. Specifically, an example in the Airflow documentation demonstrates passing dag_run.conf to BashOperator without sanitizing user input, which can lead to command injection. This could allow a user with UI access to execute arbitrary code on the worker node, escalating their privileges. The vulnerability is documented as CVE-2026-30898, but no CVSS score or official remediation is currently available.
Potential Impact
If exploited, this vulnerability could allow a user with access to the Airflow UI to execute arbitrary commands on the worker node, potentially escalating privileges and compromising the system running Airflow. This could lead to unauthorized code execution and control over the affected environment. However, there are no known exploits in the wild at this time.
Mitigation Recommendations
No official patch or remediation guidance is currently available. Users should review their DAG implementations, especially those that follow the BashOperator example using dag_run.conf, to ensure that user input is properly sanitized before being passed to command execution contexts. Avoid using unsanitized user input in BashOperator commands to prevent command injection. Monitor the Apache Software Foundation advisories for updates and official fixes.
CVE-2026-30898: CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection') in Apache Software Foundation Apache Airflow
Description
An example of BashOperator in Airflow documentation suggested a way of passing dag_run.conf in the way that could cause unsanitized user input to be used to escalate privileges of UI user to allow execute code on worker. Users should review if any of their own DAGs have adopted this incorrect advice.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability involves improper neutralization of special elements used in a command (CWE-77) within Apache Airflow. Specifically, an example in the Airflow documentation demonstrates passing dag_run.conf to BashOperator without sanitizing user input, which can lead to command injection. This could allow a user with UI access to execute arbitrary code on the worker node, escalating their privileges. The vulnerability is documented as CVE-2026-30898, but no CVSS score or official remediation is currently available.
Potential Impact
If exploited, this vulnerability could allow a user with access to the Airflow UI to execute arbitrary commands on the worker node, potentially escalating privileges and compromising the system running Airflow. This could lead to unauthorized code execution and control over the affected environment. However, there are no known exploits in the wild at this time.
Mitigation Recommendations
No official patch or remediation guidance is currently available. Users should review their DAG implementations, especially those that follow the BashOperator example using dag_run.conf, to ensure that user input is properly sanitized before being passed to command execution contexts. Avoid using unsanitized user input in BashOperator commands to prevent command injection. Monitor the Apache Software Foundation advisories for updates and official fixes.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- apache
- Date Reserved
- 2026-03-06T16:58:56.509Z
- Cvss Version
- null
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69e32a52bdfbbecc59fc2b82
Added to database: 4/18/2026, 6:53:06 AM
Last enriched: 4/18/2026, 7:08:14 AM
Last updated: 4/20/2026, 7:30:06 AM
Views: 34
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