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CVE-2025-68438 Apache Software Foundation CVE debrief

CVE-2025-68438 is a high-severity vulnerability in Apache Airflow versions before 3.1.6. When rendered template fields in a DAG exceed the max_templated_field_length, sensitive values could be exposed in cleartext in the Rendered Templates UI. This occurred because serialization of those fields used a secrets masker instance that did not include user-registered mask_secret() patterns, so secrets were not reliably masked before truncation and display. Users are recommended to upgrade to 3.1.6 or later, which fixes this issue.

Vendor
Apache Software Foundation
Product
Apache Airflow
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-01-16
Original CVE updated
2026-11-03
Advisory published
2026-01-16
Advisory updated
2026-11-03

Who should care

Defenders responsible for Apache Airflow deployments should assess exposure and prioritize upgrading to Airflow 3.1.6 or later. They should also review template field lengths and secret masking configurations to prevent sensitive information exposure.

Why it matters

CVE-2025-68438 is a high-severity vulnerability in Apache Airflow that can lead to sensitive information exposure. Defenders should prioritize upgrading to Airflow 3.1.6 or later and review template field lengths and secret masking configurations to prevent exposure.

  • Potential exposure of sensitive information in Rendered Templates UI
  • Need to verify and adjust template field lengths and secret masking configurations
  • Priority on upgrading to Airflow 3.1.6 or later to fix the issue

Technical summary

The vulnerability occurs when rendered template fields in a DAG exceed the max_templated_field_length, causing sensitive values to be exposed in cleartext in the Rendered Templates UI. This is due to the serialization of those fields using a secrets masker instance that does not include user-registered mask_secret() patterns. The issue affects Apache Airflow versions before 3.1.6, and defenders should prioritize upgrading to Airflow 3.1.6 or later to prevent sensitive information exposure. They should also review and adjust template field lengths and secret masking configurations to prevent exposure.

Defensive priority

Defenders should prioritize upgrading to Airflow 3.1.6 or later to prevent sensitive information exposure. They should also review and adjust template field lengths and secret masking configurations.

Recommended defensive actions

  • Upgrade to Apache Airflow 3.1.6 or later
  • Review and adjust template field lengths and secret masking configurations
  • Monitor Rendered Templates UI for sensitive information exposure
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, its impact, and recommended actions. However, the corpus does not establish specific exploitation instances or victim information. To verify, defenders should review Apache Airflow deployment configurations, template field lengths, and secret masking settings. They should also monitor Rendered Templates UI for potential sensitive information exposure and assess the need for additional compensating controls.

Sources and references

Verified primary and authoritative sources

  • CVE-2025-68438 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2025-68438

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

  • CVE-2025-68438 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2025-68438

    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.