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CVE-2026-58076 Apache CVE debrief

Apache Airflow's serialization layer vulnerability allows Dag authors to import and invoke arbitrary callables, potentially leading to security risks. The vulnerability affects Airflow versions prior to 3.3.1 and is distinct from CVE-2026-33264. This vulnerability impacts the Scheduler and API server components, which handle metadata database credentials and the JWT signing secret. Dag authors could exploit this by placing a value in an operator's `executor_config` that causes an arbitrary callable to be imported and invoked. The vulnerability can be triggered through a `GET /api/v2/dags/{dag_id}/details` request or during the Scheduler's normal loop, allowing for potential code (

Vendor
Apache
Product
Airflow
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-12
Original CVE updated
2026-09-16
Advisory published
2026-08-12
Advisory updated
2026-09-16

Who should care

Airflow users and administrators should assess their exposure and upgrade to a secure version. They should review and restrict imported classes to subclasses of BaseException and monitor and verify the security of their Airflow deployment. Affected operator, platform, vulnerability-management, and security-team impact should be considered.

Why it matters

The vulnerability in Apache Airflow's serialization layer allows Dag authors to import and invoke arbitrary callables, potentially leading to security risks. Airflow users and administrators should assess their exposure and upgrade to a secure version.

  • Potential arbitrary code execution
  • Elevation of privileges in the Scheduler and API server components
  • Possible data breaches or unauthorized access
  • Verification of Airflow deployment security

Technical summary

The vulnerability in Apache Airflow's serialization layer allows Dag authors to import and invoke arbitrary callables, potentially leading to security risks. The vulnerability affects Airflow versions prior to 3.3.1 and is distinct from CVE-2026-33264. The Scheduler and API server components are impacted, handling sensitive credentials and secrets. The vulnerability can be triggered through a `GET /api/v2/dags/{dag_id}/details` request or during the Scheduler's normal loop. Dag authors could exploit this by placing a value in an operator's `executor_config` that causes an arbitrary callable to be imported and invoked. The vulnerability is caused by the serialization layer reconstructing exception nodes by

Defensive priority

High

Recommended defensive actions

  • Upgrade to apache-airflow 3.3.1 or later
  • Review and restrict imported classes to subclasses of BaseException
  • Monitor and verify the security of your Airflow deployment
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
  • 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.
  • technicalSummary

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. The vulnerability is caused by the serialization layer reconstructing exception nodes by calling `import_string()` on a class name taken from the serialized blob and instantiating it with arguments from the same blob, with no restriction on what could be imported. The Scheduler and API server components are affected, holding sensitive credentials and secrets. Evidence of exploitation includes potential code

Sources and references

Verified primary and authoritative sources

  • CVE-2026-58076 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-58076

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

  • CVE-2026-58076 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-58076

    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.