CVE-2026-80210 (GCVE-0-2026-80210)
Vulnerability from cvelistv5 – Published: 2026-08-27 14:50 – Updated: 2026-08-27 18:05
VLAI
EPSS
VEX
Title
FrontAccounting through 2.4.20 Cross-Site Request Forgery on Financial Transaction Forms
Summary
FrontAccounting through 2.4.20 generates a CSRF token in end_form() in includes/ui/ui_controls.inc and embeds it as the _token hidden field in every form it renders, but only admin/users.php and admin/change_current_user_password.php call check_csrf_token() to validate it. No financial transaction handler validates the token, including gl/gl_journal.php, gl/gl_bank.php, purchasing/supplier_invoice.php, sales/customer_invoice.php, sales/customer_payments.php and admin/company_preferences.php, so those endpoints act on POST data with no origin check. An attacker who gets an authenticated user to load a page under attacker control can auto-submit a cross-origin form to any of them and have the forged journal entry, invoice, customer payment, bank transaction or company configuration change recorded under the victim's session.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-27 18:05 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/geo-chen/oss/blob/main/FA.md#f… | third-party-advisory |
| https://github.com/FrontAccountingERP/FA | product |
| https://github.com/FrontAccountingERP/FA/blob/946… | technical-description |
| https://www.vulncheck.com/advisories/frontaccount… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| FrontAccounting | FrontAccounting |
Affected:
0 , ≤ 2.4.20
(semver)
cpe:2.3:a:frontaccounting:frontaccounting:*:*:*:*:*:*:*:* |
Date Public
2026-08-26 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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