PatchSiren cyber security CVE debrief
CVE-2026-68968 Apache CVE debrief
CVE-2026-68968 debrief: Apache Airflow Backfill API vulnerability allows unauthorized access to backfills due to improper parsing of the `backfill_id` path segment. An authenticated user with edit permission on any single Dag can read, pause, and cancel backfills belonging to any other Dag, potentially disrupting queued runs and elevating privileges. Users should upgrade to apache-airflow 3.3.1 or later to prevent exploitation. This vulnerability is trivial to exploit due to sequential backfill IDs and requires no non-default configuration.
- Vendor
- Apache
- Product
- Airflow
- CVSS
- HIGH 7.5
- 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
Defenders responsible for Apache Airflow deployments should assess exposure and prioritize upgrading to apache-airflow 3.3.1 or later. They should also review and update access controls for backfills, monitor for suspicious activity, and ensure that compensating controls are in place for exposed systems.
Why it matters
CVE-2026-68968 allows unauthorized access to backfills in Apache Airflow, potentially disrupting queued runs and elevating privileges for authenticated users. Defenders should prioritize upgrading to apache-airflow 3.3.1 or later.
- Unauthorized access to backfills
- Potential disruption of queued runs
- Elevation of privileges for authenticated users
- Increased risk of exploitation due to sequential backfill IDs
Technical summary
The Apache Airflow Backfill API vulnerability occurs when the `backfill_id` path segment fails to parse, allowing an authenticated user with edit permission on any single Dag to read, pause, and cancel backfills belonging to any other Dag. This happens because the authorization dependency parses the `backfill_id` with `int()` while the route handler uses pydantic's `NonNegativeInt`, which accepts values that `int()` rejects. The vulnerability allows unauthorized access to backfills, potentially disrupting queued runs and elevating privileges for authenticated users.
Defensive priority
Defenders should prioritize upgrading to apache-airflow 3.3.1 or later to prevent unauthorized access to backfills.
Recommended defensive actions
- Upgrade to apache-airflow 3.3.1 or later
- Review and update access controls for backfills
- Monitor for suspicious activity
- 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
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, including its description and affected versions. The vulnerability occurs when the `backfill_id` path segment fails to parse, allowing an authenticated user with edit permission on any single Dag to access backfills of other Dags. Evidence is limited to CVE and NVD entries; further verification is needed to assess exposure and impact.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-68968 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-68968
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-68968 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-68968
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/apache/airflow/pull/70889
[email protected] - Issue Tracking, Patch
-
Source reference
Unverified legacy reference
URL: https://lists.apache.org/thread/f9zmw6xs5b4syhwzbl6fsxm4kf2632ol
[email protected] - Mailing List
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.