GHSA-JM4C-88WP-RFJQ
Vulnerability from github – Published: 2026-08-11 15:32 – Updated: 2026-08-11 15:32
VLAI
Details
Velociraptor allows multi-tenant deployments named "Orgs".
By default Velociraptor, uses the ROOT org, but users can create child orgs for other tenants within the same deployment.
Users can have different permissions in each org. To manage Orgs, Velociraptor usually examines the ORG_ADMIN permission on the ROOT org.
This issue results from the Velociraptor server allowing for the deletion of Orgs by incorrectly checking the ORG_ADMIN permission of callers within the calling ORG instead of the ROOT org. However, Org admins of child orgs were able to add this permission to their ACL token within their own org. This allows an administrator in a child org, which is not also an administrator in the ROOT org, to delete other orgs.
Severity
8.7 (High)
{
"affected": [],
"aliases": [
"CVE-2026-18860"
],
"database_specific": {
"cwe_ids": [
"CWE-280"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-11T15:17:28Z",
"severity": "HIGH"
},
"details": "Velociraptor allows multi-tenant deployments named \"Orgs\".\n\nBy default Velociraptor, uses the ROOT org, but users can create child orgs for other tenants within the same deployment.\n\nUsers can have different permissions in each org. To manage Orgs, Velociraptor usually examines the ORG_ADMIN permission on the ROOT org.\n\nThis issue results from the Velociraptor server allowing for the deletion of Orgs by incorrectly checking the ORG_ADMIN permission of callers within the calling ORG instead of the ROOT org. However, Org admins of child orgs were able to add this permission to their ACL token within their own org.\u00a0This allows an administrator in a child org, which is not also an administrator in the ROOT org, to delete other orgs.",
"id": "GHSA-jm4c-88wp-rfjq",
"modified": "2026-08-11T15:32:45Z",
"published": "2026-08-11T15:32:45Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18860"
},
{
"type": "WEB",
"url": "https://github.com/Velocidex/velociraptor/commit/dc38bd6a7e12a678cd79e726bdd1ded4eed75967"
},
{
"type": "WEB",
"url": "https://docs.velociraptor.app/announcements/advisories/cve-2026-18860"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:N/I:H/A:H",
"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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