CVE-2026-92594 (GCVE-0-2026-92594)
Vulnerability from cvelistv5 – Published: 2026-09-16 21:46 – Updated: 2026-09-16 21:46
VLAI
EPSS
VEX
Title
Craft CMS before 5.11.0 Unauthenticated PII Disclosure via GraphQL
Summary
Craft CMS 5.0.0-RC1 through versions before 5.11.0 incorrectly authorize the GraphQL draftCreator and revisionCreator fields: instead of requiring the user-data scope enforced by Gql::canQueryUsers() (usergroups.*:read), these fields are gated only on the elements.drafts:read / elements.revisions:read scopes, and their resolver returns a raw User element whose email, username, fullName, and addresses fields have no per-field authorization. A client holding only the drafts or revisions scope — including an unauthenticated client when the operator has enabled the public GraphQL schema with those scopes — can therefore harvest the email addresses, usernames, full names, and postal addresses of all draft/revision creators (typically site editors and administrators). The issue is fixed in 5.11.0.
Severity
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/craftcms/cms/security/advisori… | vendor-advisory |
| https://www.vulncheck.com/advisories/craft-cms-be… | third-party-advisory |
Impacted products
Date Public
2026-09-01 00:00
{
"containers": {
"cna": {
"affected": [
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"defaultStatus": "unaffected",
"product": "cms",
"vendor": "craftcms",
"versions": [
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"status": "affected",
"version": "5.0.0-RC1",
"versionType": "semver"
},
{
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"version": "5.11.0",
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"datePublic": "2026-09-01T00:00:00.000Z",
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}
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"Recovery": "NOT_DEFINED",
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"url": "https://github.com/craftcms/cms/security/advisories/GHSA-pcmv-c398-gc5m"
},
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"url": "https://www.vulncheck.com/advisories/craft-cms-before-5.11.0-unauthenticated-pii-disclosure-via-graphql"
}
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"title": "Craft CMS before 5.11.0 Unauthenticated PII Disclosure via GraphQL",
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"cveMetadata": {
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"cveId": "CVE-2026-92594",
"datePublished": "2026-09-16T21:46:59.423Z",
"dateReserved": "2026-09-16T13:47:49.170Z",
"dateUpdated": "2026-09-16T21:46:59.423Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
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"vulnerability-lookup:meta": {
"epss": {
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"date": "2026-09-17",
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}
}
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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.
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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