CVE-2026-86766 (GCVE-0-2026-86766)
Vulnerability from cvelistv5 – Published: 2026-09-09 13:32 – Updated: 2026-09-09 14:18
VLAI
EPSS
VEX
Title
Snipe-IT 8.6.3 Race Condition via Consumable Checkout
Summary
Snipe-IT versions up to and including 8.6.3 contain a race condition (TOCTOU) in the consumable checkout API endpoint (POST /api/v1/consumables/{consumable_id}/checkout). The requested quantity is validated against the number of remaining units before the database transaction begins, and the transaction then creates the checkout records without locking the consumable row or re-checking availability. An authenticated user with permission to check out consumables can submit concurrent checkout requests for the same consumable so that both requests pass the availability check and succeed, over-allocating stock and driving the remaining inventory negative (e.g., a consumable with 1 remaining unit ends at -1 after two concurrent 1-unit checkouts). The issue is fixed in 8.7.0, which re-fetches the parent row under lockForUpdate inside the transaction and re-validates availability.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-09 14:08 UTC
CWE
- CWE-362 - Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/grokability/snipe-it/security/… | vendor-advisory |
| https://github.com/grokability/snipe-it/commit/f7… | patch |
| https://www.vulncheck.com/advisories/snipe-it-8.6… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| grokability | snipe-it |
Affected:
8.6.3 , < 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.
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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