GHSA-GP6M-X9VW-5C5X
Vulnerability from github – Published: 2026-10-07 18:01 – Updated: 2026-10-07 18:01
VLAI
Summary
Backstage has improper authorization in GitLab organizational user ingestion
Details
Impact
Deployments that enable GitLab organization event ingestion and rely on scoped catalog users as an access boundary may admit an unintended catalog identity. Depending on sign-in and permission configuration, this may allow unauthorized access with the permissions of a standard authenticated user.
Patches
- Upgrade
@backstage/plugin-catalog-backend-module-gitlabto version0.8.7.
Workarounds
- Disable event-driven GitLab organization ingestion and rely on scheduled discovery until upgrading.
- Enforce organization membership independently at the authenticating proxy or sign-in resolver.
Severity
5.4 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "@backstage/plugin-catalog-backend-module-gitlab"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.8.7"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-106463"
],
"database_specific": {
"cwe_ids": [
"CWE-863"
],
"github_reviewed": true,
"github_reviewed_at": "2026-10-07T18:01:39Z",
"nvd_published_at": "2026-10-06T21:17:17Z",
"severity": "MODERATE"
},
"details": "### Impact\n\nDeployments that enable GitLab organization event ingestion and rely on scoped catalog users as an access boundary may admit an unintended catalog identity. Depending on sign-in and permission configuration, this may allow unauthorized access with the permissions of a standard authenticated user.\n\n### Patches\n\n- Upgrade `@backstage/plugin-catalog-backend-module-gitlab` to version `0.8.7`.\n\n### Workarounds\n\n- Disable event-driven GitLab organization ingestion and rely on scheduled discovery until upgrading.\n- Enforce organization membership independently at the authenticating proxy or sign-in resolver.",
"id": "GHSA-gp6m-x9vw-5c5x",
"modified": "2026-10-07T18:01:39Z",
"published": "2026-10-07T18:01:39Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/backstage/backstage/security/advisories/GHSA-gp6m-x9vw-5c5x"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-106463"
},
{
"type": "WEB",
"url": "https://github.com/backstage/backstage/commit/c211b4b67d28efd2f4fac63e35e2ac515e305cb3"
},
{
"type": "PACKAGE",
"url": "https://github.com/backstage/backstage"
},
{
"type": "WEB",
"url": "https://github.com/backstage/backstage/releases/tag/v1.54.6"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Backstage has improper authorization in GitLab organizational user ingestion"
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was 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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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