CVE-2026-24098: Apache Airflow UI Exposes DAG Import Errors to Unauthorized Users

apache-airflow Updated 11 Feb 2026

Summary

09/02/2026
Yes i
Moderate
6.5

CVE-2026-24098: Apache Airflow UI Exposes DAG Import Errors to Unauthorized Authenticated Users. Affects apache-airflow versions < 3.1.7. Fixed in 3.1.7. How to fix ↓

Also tracked for

The same CVE-2026-24098 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.

Free scan

Check if this vulnerability affects your application

Upload a manifest or SBOM and we'll show whether you're affected, plus every other risky package in the same scan.

Check my app free

No signup required · Results in about 60 seconds

Sponsored Devnack Mobile apps built by Devnack Design, build and launch iOS and Android apps with a senior product team. From idea to store release Start a project

Background

Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor workflows. It allows users to define workflows as Directed Acyclic Graphs (DAGs) and provides a rich user interface to visualize and manage these workflows. However, a vulnerability has been identified that compromises the security of DAG import error logs, potentially exposing sensitive information to unauthorized users.

Vulnerability Detail

The vulnerability stems from a flaw in the Apache Airflow UI that fails to properly filter import errors based on DAG permissions. This allows authenticated users to access import errors for DAGs they do not have permission to view. The exposed logs may contain sensitive information such as file paths, code snippets, and stack traces, which can reveal the internal workings of restricted DAGs. This information disclosure could lead to unauthorized access to sensitive data and compromise the integrity of the workflows.

How To Fix

Latest published version: 3.3.2 as of 22 Oct 2026

pip install --upgrade "apache-airflow==3.3.2"

Upgrading to it may include breaking changes; the version below is the minimum fixed release for this vulnerability.

If you need the minimum change

3.1.7

This is the first release that contains the fix.

pip install --upgrade "apache-airflow==3.1.7"

Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →

Workaround

There are no known workarounds other than upgrading to the patched version.

Conclusion

In summary, CVE-2026-24098 is a significant vulnerability in Apache Airflow that exposes sensitive import error logs to unauthorized users. Users are strongly advised to upgrade to version 3.1.7 or later to mitigate this risk and protect their workflows.

See every vulnerability recorded for apache-airflow →

Share this vulnerability

FAQ

CVE-2026-24098 is a vulnerability in Apache Airflow that allows unauthorized users to view import errors for DAGs they do not have access to.

The risks include exposure of sensitive information such as file paths and code snippets, which could lead to unauthorized access to restricted DAGs.

You can use Vulert's playground to check if your application is affected by this vulnerability without any signup required.

The CVSS score of this vulnerability is 6.5, indicating a moderate severity level.

Yes, Vulert can monitor and alert you in real-time for open-source vulnerabilities using just your Pipfile.lock.

Related vulnerabilities

Recent vulnerabilities recorded for apache-airflow.

How To Fix

Latest published version: 3.3.2 as of 22 Oct 2026

pip install --upgrade "apache-airflow==3.3.2"

Upgrading to it may include breaking changes; the version below is the minimum fixed release for this vulnerability.

If you need the minimum change

3.1.7

This is the first release that contains the fix.

pip install --upgrade "apache-airflow==3.1.7"

Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →

Subscribe to Vulert on Telegram
Daily digest of new CVEs, critical and high severity, affected packages and fixes — plus a weekly roundup.
Join the channel →
Help improve this record
Report an issue or send feedback