GHSA-22HF-VX2V-GJFF
Vulnerability from github – Published: 2026-07-07 12:31 – Updated: 2026-09-04 19:28
VLAI
Summary
Apache Airflow exposes deferred trigger kwargs in task-instance API responses
Details
In Apache Airflow before 3.3.0, the REST API task-instance detail and list endpoints returned a deferred task's trigger kwargs without masking. When a deferred operator passed a secret (for example a provider API key) into its trigger, any authenticated user with DAG-scoped task-instance read access for that DAG could read that secret in clear text while the task was deferred. Users should upgrade to apache-airflow 3.3.0 or later, which masks sensitive values in trigger kwargs returned by the API.
Severity
6.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "apache-airflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-49487"
],
"database_specific": {
"cwe_ids": [
"CWE-200"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-04T19:28:48Z",
"nvd_published_at": "2026-07-07T10:16:41Z",
"severity": "MODERATE"
},
"details": "In Apache Airflow before 3.3.0, the REST API task-instance detail and list endpoints returned a deferred task\u0027s trigger kwargs without masking. When a deferred operator passed a secret (for example a provider API key) into its trigger, any authenticated user with DAG-scoped task-instance read access for that DAG could read that secret in clear text while the task was deferred.\nUsers should upgrade to apache-airflow 3.3.0 or later, which masks sensitive values in trigger kwargs returned by the API.",
"id": "GHSA-22hf-vx2v-gjff",
"modified": "2026-09-04T19:28:48Z",
"published": "2026-07-07T12:31:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-49487"
},
{
"type": "WEB",
"url": "https://github.com/apache/airflow/pull/67868"
},
{
"type": "WEB",
"url": "https://github.com/apache/airflow/commit/9101aa66754af052ba5010a5fce9f8fa4140e6c7"
},
{
"type": "PACKAGE",
"url": "https://github.com/apache/airflow"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/apache-airflow/PYSEC-2026-2088.yaml"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/qlw6pozlzlfhkvmbgqsbjlq6vj4v0pc4"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/07/07/6"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "Apache Airflow exposes deferred trigger kwargs in task-instance API responses"
}
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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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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