CVE-2026-76073 (GCVE-0-2026-76073)
Vulnerability from cvelistv5 – Published: 2026-08-24 17:55 – Updated: 2026-08-24 17:55
VLAI
EPSS
VEX
Title
Label Studio through 1.23.0 Cross-Organization Annotation Access via Unscoped AnnotationAPI Queryset
Summary
Label Studio does not scope the annotation detail endpoint to the requesting user's organization. AnnotationAPI in label_studio/tasks/api.py declares queryset = Annotation.objects.all() and provides no get_queryset override, so the default lookup retrieves any annotation by primary key. The view's permission_required entries name annotations.view, annotations.change and annotations.delete, and label_studio/core/permissions.py registers every permission with rules.is_authenticated, so the check is satisfied by any logged-in account and no object-level organization test runs. The sibling task endpoint does constrain its queryset with project__organization set to the requester's active organization, which is the boundary this path omits. Annotation identifiers are sequential integers, so an authenticated user of one organization can enumerate identifiers to read, modify and delete annotations belonging to other organizations on the same instance. The same unscoped queryset appears on AnnotationConvertAPI in the same file.
Severity
CWE
- CWE-639 - Authorization Bypass Through User-Controlled Key
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/HumanSignal/label-studio | product |
| https://github.com/HumanSignal/label-studio/issues/9796 | issue-tracking |
| https://github.com/HumanSignal/label-studio/blob/… | technical-description |
| https://www.vulncheck.com/advisories/label-studio… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| HumanSignal | label-studio |
Affected:
0 , ≤ 1.23.0
(semver)
cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:* |
Date Public
2026-08-24 00:00
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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.
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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