GHSA-g9qc-qf28-hhqx · Severity: medium · Ecosystem: pip — Apache Airflow Amazon provider: Prevent unauthorized access to team-scoped secrets in AWS Secrets Manager and SSM Parameter Store backends
In the AWS Secrets Manager and SSM Parameter Store secrets backends of `apache-airflow-providers-amazon` prior to 9.28.0, the team-scoping logic could resolve a `conn_id` containing a `/` (e.g. `"my_team/conn"`) to the same path as another team's team-scoped secret when the caller had no team context. A privileged caller without team context could therefore retrieve another team's secret by crafting a colliding `conn_id`. Fixed in 9.28.0 by switching the team-scope separator to `--` and rejecting team-shaped `conn_id`s when team context is absent. Affects the experimental multi-tenant teams feature only. Users are recommended to upgrade to `apache-airflow-providers-amazon` 9.28.0, which fixes the issue.
Conclusion & alert: CVE-2026-42526 is rated Low Risk (23.9/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.03%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-05-20 | — | 0.03% | — |
Full EPSS history (1 record total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 5.3 | 3.1 | MEDIUM |
|
1.6 | 3.6 | 134c704f-9b21-4f2e-91b3-4a467353bcc0 |
GHSA-g9qc-qf28-hhqx · Severity: medium · Ecosystem: pip — Apache Airflow Amazon provider: Prevent unauthorized access to team-scoped secrets in AWS Secrets Manager and SSM Parameter Store backends
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||