CVE-2026-24098: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in Apache Software Foundation Apache Airflow
CVE-2026-24098 is a medium severity vulnerability in Apache Airflow versions 3. 0. 0 through 3. 1. 7 that allows authenticated users with access to specific DAGs to view import errors from other DAGs they are not authorized to access. This exposure of sensitive information could reveal internal system details or configuration errors, potentially aiding attackers in further exploitation. The vulnerability requires authenticated access but no user interaction beyond login. It impacts confidentiality but not integrity or availability. Organizations using affected Airflow versions should upgrade to 3. 1.
AI Analysis
Technical Summary
CVE-2026-24098 is a vulnerability classified under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor) affecting Apache Airflow versions 3.0.0 through 3.1.7. Apache Airflow is a widely used open-source platform for programmatically authoring, scheduling, and monitoring workflows (DAGs). The vulnerability arises because authenticated users who have permission to access one or more specific DAGs can view import errors generated by other DAGs to which they do not have access. Import errors typically contain sensitive information such as file paths, environment variables, or code snippets that could reveal internal system details or misconfigurations. The vulnerability does not require user interaction beyond authentication and can be exploited remotely over the network (AV:N). The attack complexity is low (AC:L), and privileges required are limited to having access to at least one DAG (PR:L). The vulnerability impacts confidentiality (C:H) but does not affect integrity or availability. The issue was addressed in Apache Airflow version 3.1.7 and later, where access controls were presumably tightened to prevent unauthorized viewing of import errors from other DAGs. No public exploits have been reported to date, but the information disclosure could facilitate further attacks if leveraged by malicious actors.
Potential Impact
The primary impact of CVE-2026-24098 is the unauthorized disclosure of sensitive information contained in import error messages from DAGs that an authenticated user should not access. This exposure can aid attackers or malicious insiders in understanding the internal workings, configurations, or vulnerabilities of the Airflow environment, potentially enabling privilege escalation, lateral movement, or targeted attacks against the infrastructure. While the vulnerability does not directly compromise data integrity or system availability, the confidentiality breach can undermine organizational security posture and compliance with data protection regulations. Organizations relying on Apache Airflow for critical workflow orchestration, especially those handling sensitive data or operating in regulated industries, face increased risk of information leakage and subsequent exploitation. The requirement for authentication limits the attack surface to insiders or compromised accounts, but given Airflow’s role in many enterprises, the risk remains significant. The absence of known exploits reduces immediate threat but does not eliminate future risk.
Mitigation Recommendations
To mitigate CVE-2026-24098, organizations should promptly upgrade Apache Airflow to version 3.1.7 or later, where the vulnerability has been fixed. Beyond patching, administrators should review and enforce strict role-based access controls (RBAC) to limit user permissions to only those DAGs necessary for their role, minimizing the number of users who can access any DAGs. Monitoring and logging access to DAGs and error messages should be enhanced to detect anomalous or unauthorized access attempts. Consider implementing network segmentation and multi-factor authentication (MFA) for Airflow access to reduce the risk of compromised credentials being used to exploit this vulnerability. Additionally, review Airflow configurations to ensure error messages and logs do not expose sensitive information unnecessarily. Regular security assessments and audits of Airflow deployments can help identify and remediate similar information disclosure issues proactively.
Affected Countries
United States, Germany, India, Japan, Brazil, United Kingdom, Canada, Australia, France, Netherlands
CVE-2026-24098: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in Apache Software Foundation Apache Airflow
Description
CVE-2026-24098 is a medium severity vulnerability in Apache Airflow versions 3. 0. 0 through 3. 1. 7 that allows authenticated users with access to specific DAGs to view import errors from other DAGs they are not authorized to access. This exposure of sensitive information could reveal internal system details or configuration errors, potentially aiding attackers in further exploitation. The vulnerability requires authenticated access but no user interaction beyond login. It impacts confidentiality but not integrity or availability. Organizations using affected Airflow versions should upgrade to 3. 1.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-24098 is a vulnerability classified under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor) affecting Apache Airflow versions 3.0.0 through 3.1.7. Apache Airflow is a widely used open-source platform for programmatically authoring, scheduling, and monitoring workflows (DAGs). The vulnerability arises because authenticated users who have permission to access one or more specific DAGs can view import errors generated by other DAGs to which they do not have access. Import errors typically contain sensitive information such as file paths, environment variables, or code snippets that could reveal internal system details or misconfigurations. The vulnerability does not require user interaction beyond authentication and can be exploited remotely over the network (AV:N). The attack complexity is low (AC:L), and privileges required are limited to having access to at least one DAG (PR:L). The vulnerability impacts confidentiality (C:H) but does not affect integrity or availability. The issue was addressed in Apache Airflow version 3.1.7 and later, where access controls were presumably tightened to prevent unauthorized viewing of import errors from other DAGs. No public exploits have been reported to date, but the information disclosure could facilitate further attacks if leveraged by malicious actors.
Potential Impact
The primary impact of CVE-2026-24098 is the unauthorized disclosure of sensitive information contained in import error messages from DAGs that an authenticated user should not access. This exposure can aid attackers or malicious insiders in understanding the internal workings, configurations, or vulnerabilities of the Airflow environment, potentially enabling privilege escalation, lateral movement, or targeted attacks against the infrastructure. While the vulnerability does not directly compromise data integrity or system availability, the confidentiality breach can undermine organizational security posture and compliance with data protection regulations. Organizations relying on Apache Airflow for critical workflow orchestration, especially those handling sensitive data or operating in regulated industries, face increased risk of information leakage and subsequent exploitation. The requirement for authentication limits the attack surface to insiders or compromised accounts, but given Airflow’s role in many enterprises, the risk remains significant. The absence of known exploits reduces immediate threat but does not eliminate future risk.
Mitigation Recommendations
To mitigate CVE-2026-24098, organizations should promptly upgrade Apache Airflow to version 3.1.7 or later, where the vulnerability has been fixed. Beyond patching, administrators should review and enforce strict role-based access controls (RBAC) to limit user permissions to only those DAGs necessary for their role, minimizing the number of users who can access any DAGs. Monitoring and logging access to DAGs and error messages should be enhanced to detect anomalous or unauthorized access attempts. Consider implementing network segmentation and multi-factor authentication (MFA) for Airflow access to reduce the risk of compromised credentials being used to exploit this vulnerability. Additionally, review Airflow configurations to ensure error messages and logs do not expose sensitive information unnecessarily. Regular security assessments and audits of Airflow deployments can help identify and remediate similar information disclosure issues proactively.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- apache
- Date Reserved
- 2026-01-21T15:52:53.472Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 6989be7b4b57a58fa145bd86
Added to database: 2/9/2026, 11:01:15 AM
Last enriched: 3/17/2026, 7:31:44 PM
Last updated: 3/26/2026, 11:45:49 AM
Views: 120
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