GHSA-563F-2439-RMQ4
Vulnerability from github – Published: 2026-07-07 12:31 – Updated: 2026-09-04 19:25
VLAI
Summary
Apache Airflow exposes sensitive JSON Variable values through the Bulk Variables API
Details
The Bulk Variables API in Apache Airflow called the redactor without passing the variable's key, so the key-based should_hide_value_for_key check (which triggers on secret-suffixed key names like *_password / *_token / *_secret) could not fire for JSON-decodable variable values. An authenticated UI/API user with bulk Variable read permission could retrieve plaintext values from JSON variables whose key would otherwise trigger redaction. Affects deployments that store sensitive values in JSON-typed Airflow Variables under secret-suffixed key names. Users are advised to upgrade to apache-airflow 3.3.0 or later (the fix landed on main after 3.2.2; no 3.2.x backport).
Severity
6.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "apache-airflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-48828"
],
"database_specific": {
"cwe_ids": [
"CWE-200"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-04T19:25:31Z",
"nvd_published_at": "2026-07-07T10:16:41Z",
"severity": "MODERATE"
},
"details": "The Bulk Variables API in Apache Airflow called the redactor without passing the variable\u0027s key, so the key-based `should_hide_value_for_key` check (which triggers on secret-suffixed key names like `*_password` / `*_token` / `*_secret`) could not fire for JSON-decodable variable values. An authenticated UI/API user with bulk Variable read permission could retrieve plaintext values from JSON variables whose key would otherwise trigger redaction. Affects deployments that store sensitive values in JSON-typed Airflow Variables under secret-suffixed key names. Users are advised to upgrade to `apache-airflow` 3.3.0 or later (the fix landed on `main` after 3.2.2; no 3.2.x backport).",
"id": "GHSA-563f-2439-rmq4",
"modified": "2026-09-04T19:25:31Z",
"published": "2026-07-07T12:31:35Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48828"
},
{
"type": "WEB",
"url": "https://github.com/apache/airflow/pull/67495"
},
{
"type": "WEB",
"url": "https://github.com/apache/airflow/commit/b12f5ad66f51b91fd0a6268f94938be830133115"
},
{
"type": "PACKAGE",
"url": "https://github.com/apache/airflow"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/y9kf314t6dhnv994hr11wj3tbow847yc"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/07/07/2"
}
],
"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 sensitive JSON Variable values through the Bulk Variables API"
}
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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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