CVE-2026-86750 (GCVE-0-2026-86750)
Vulnerability from cvelistv5 – Published: 2026-09-09 13:32 – Updated: 2026-09-14 13:22
VLAI
EPSS
VEX
Title
snipe-it before 8.7.0 Authorization Bypass via API User Create/Update
Summary
Snipe-IT versions <= 8.6.3 (fixed in 8.7.0) do not validate company assignment authorization before persisting user records via the REST API. In Api\UsersController::store() and ::update(), the user record is filled from the request and saved before the requested company_id / company_ids[] values are filtered against the actor's permitted companies (Company::getIdsForCurrentUser()). On installs using Full Multiple Companies Support (FMCS), a non-superuser holding users.create (or users.edit on a target user) can submit company identifiers for companies outside their scope — including a mix of permitted and foreign ids — causing the account row to be committed to the database before authorization is checked. Where null_company_is_floater=1 is set, the post-hoc filter leaves an empty company pivot and the account is persisted as a "floater" with cross-company visibility, allowing creation or relocation of user accounts across tenant boundaries.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-14 13:22 UTC
CWE
- CWE-863 - Incorrect Authorization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/grokability/snipe-it/security/… | vendor-advisory |
| https://www.vulncheck.com/advisories/snipe-it-bef… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| grokability | snipe-it |
Affected:
0 , < 8.7.0
(semver)
Unaffected: 8.7.0 (semver) cpe:2.3:a:snipeitapp:snipe-it:*:*:*:*:*:*:*:* |
Date Public
2026-08-24 00:00
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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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