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CVE-2026-38743 Apache Software Foundation CVE debrief

The CVE-2026-38743 vulnerability in Apache Airflow allows an authenticated user with read access to at least one DAG to retrieve HITL prompts and full TaskInstance details for DAGs outside their authorized scope. This issue is fixed in version 3.2.1. The vulnerability arises from the /ui/dags endpoint's failure to enforce per-DAG access control on embedded Human-in-the-Loop (HITL) and TaskInstance records. Consequently, a logged-in Airflow user with read access to at least one DAG could retrieve HITL prompts (including their request parameters) and full TaskInstance details for DAGs outside their authorized scope.

Vendor
Apache Software Foundation
Product
Apache Airflow
CVSS
MEDIUM 4.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-04-24
Original CVE updated
2026-11-03
Advisory published
2026-04-24
Advisory updated
2026-11-03

Who should care

Airflow users and administrators should assess exposure and upgrade to version 3.2.1 to fix the issue. This involves reviewing current DAG configurations, identifying potentially exposed systems, and applying the necessary updates. Additionally, users should review and restrict access to DAGs and TaskInstance records to prevent unauthorized access.

Why it matters

The CVE-2026-38743 vulnerability in Apache Airflow allows an authenticated user to access sensitive data outside their authorized scope, potentially leading to unauthorized access and increased visibility of sensitive data. Airflow users and administrators should assess exposure and upgrade to version 3.2.1 to fix the issue.

  • Potential unauthorized access to DAG-run data
  • Increased visibility of sensitive data beyond intended per-DAG RBAC boundaries
  • Need for verification of affected versions and remediation
  • Potential impact on data confidentiality

Technical summary

The authenticated /ui/dags endpoint did not enforce per-DAG access control on embedded Human-in-the-Loop (HITL) and TaskInstance records, allowing a logged-in Airflow user with read access to at least one DAG to retrieve HITL prompts and full TaskInstance details for DAGs outside their authorized scope. This issue is fixed in version 3.2.1, which enforces proper access controls, preventing unauthorized access to sensitive data across different DAGs. Users are recommended to upgrade to this version to mitigate the vulnerability.

Defensive priority

Upgrade to version 3.2.1 to fix the issue.

Recommended defensive actions

  • Upgrade to version 3.2.1
  • Review and restrict access to DAGs and TaskInstance records
  • Monitor for potential unauthorized access
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD vulnerability detail page provide information about the vulnerability, its impact, and the fix in version 3.2.1. The authenticated /ui/dags endpoint did not enforce per-DAG access control on embedded Human-in-the-Loop (HITL) and TaskInstance records. This issue allows a logged-in Airflow user with read access to at least one DAG to retrieve HITL prompts and full TaskInstance details for DAGs outside their authorized scope.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-38743 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-38743

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-38743 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-38743

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.