CVE-2026-82911 (GCVE-0-2026-82911)
Vulnerability from cvelistv5 – Published: 2026-09-04 15:33 – Updated: 2026-09-04 19:31 X_Open Source
VLAI
EPSS
VEX
Title
CSRF in Prospero Flow CRM order confirmation allows unauthorized order state changes
Summary
Cross-Site Request Forgery (CSRF) in the OrderConfirmController at GET /order/confirm/{order_number} in Roskus Prospero Flow CRM before 5.15.11 allows an unauthenticated attacker to confirm any order on behalf of an authenticated user by directing them to a crafted page. Laravel's VerifyCsrfToken middleware enforces CSRF tokens only on POST, PUT, PATCH, and DELETE requests; the Route::get declaration leaves this state-changing action unprotected. Session cookies configured with SameSite=Lax are automatically included in top-level cross-site navigation, so a single link click triggers OrderConfirmController::confirm() and transitions the target order from pending to confirmed without user authorization. Because order numbers are sequential integers, an attacker can enumerate and confirm all existing orders in a single automated sweep.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-04 19:31 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Roskus/prospero-flow-crm/commi… | patch |
| https://secur0.com/en/cna/cve-list/cve-2026-82911… | third-party-advisorytechnical-description |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Roskus | Prospero Flow CRM |
Affected:
0 , < 5.15.11
(semver)
cpe:2.3:a:roskus:prospero_flow_crm:*:*:*:*:*:*:*:* |
Date Public
2026-07-30 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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