GHSA-984P-RGJ2-H89X
Vulnerability from github – Published: 2026-08-10 21:32 – Updated: 2026-08-11 15:32
VLAI
Details
The AWS Systems Manager Parameter Store and Secrets Manager backends in Apache Airflow's Amazon provider resolved a team-scoped Connection or Variable id through the team-agnostic lookup when the team-scoped lookup missed. In a deployment running multi-team mode with either backend, a caller in one team could resolve a secret belonging to another team by supplying an id that spells out that team's namespace, obtaining its credentials in full. No unusual configuration is required beyond enabling multi-team mode and using one of these backends. Users are advised to upgrade to apache-airflow-providers-amazon 9.34.0 or later, which refuses the team-agnostic fall-through for an id that could name a team namespace.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-68872"
],
"database_specific": {
"cwe_ids": [
"CWE-639"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T19:17:30Z",
"severity": "MODERATE"
},
"details": "The AWS Systems Manager Parameter Store and Secrets Manager backends in Apache Airflow\u0027s Amazon provider resolved a team-scoped Connection or Variable id through the team-agnostic lookup when the team-scoped lookup missed. In a deployment running multi-team mode with either backend, a caller in one team could resolve a secret belonging to another team by supplying an id that spells out that team\u0027s namespace, obtaining its credentials in full. No unusual configuration is required beyond enabling multi-team mode and using one of these backends. Users are advised to upgrade to apache-airflow-providers-amazon 9.34.0 or later, which refuses the team-agnostic fall-through for an id that could name a team namespace.",
"id": "GHSA-984p-rgj2-h89x",
"modified": "2026-08-11T15:32:25Z",
"published": "2026-08-10T21:32:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68872"
},
{
"type": "WEB",
"url": "https://github.com/apache/airflow/pull/70878"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/9nd31g40rd2zpgwwymskvjpfq1xnmllg"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/08/10/6"
}
],
"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"
}
]
}
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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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