CVE-2026-27173 (GCVE-0-2026-27173)
Vulnerability from cvelistv5 – Published: 2026-05-19 19:19 – Updated: 2026-05-19 19:57
VLAI
EPSS
VEX
Title
Apache Airflow CNCF Kubernetes provider: JWT Token Exposure in KubernetesExecutor Command-Line Arguments
Summary
JWT tokens that were used by workers in Kubernetes Executors have been exposed to users who had read only access to Kuberentes Pods. This could allow users with just read-only access to perform actions that were only available to running tasks via Task SDK and potentially allow to modify state of Airflow Database for tasks.
Severity
8.7 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-538 - Insertion of Sensitive Information into Externally-Accessible File or Directory
Assigner
References
3 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Airflow CNCF Kubernetes provider |
Affected:
0 , < 10.17.0
(semver)
|
Credits
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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