CVE-2026-40524 (GCVE-0-2026-40524)
Vulnerability from cvelistv5 – Published: 2026-06-29 12:27 – Updated: 2026-07-14 20:00 X_Open Source
VLAI
EPSS
VEX
Title
FrontAccounting < 2.4.20 SQL Injection via get_gl_transactions()
Summary
FrontAccounting before 2.4.20 contains a SQL injection vulnerability in the get_gl_transactions() function where the filter_type parameter is concatenated directly into a SQL IN() clause without parameterization. Attackers with SA_GLANALYTIC permission can inject arbitrary SQL by supplying a closing parenthesis followed by malicious conditions to extract sensitive journal entry data through boolean-based blind SQL injection with reliable response size differentials.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-01 13:56 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://jivasecurity.com/writeups/frontaccounting… | technical-descriptionexploit |
| https://sourceforge.net/p/frontaccounting/news/20… | release-notes |
| https://github.com/FrontAccountingERP/FA/commit/6… | patch |
| 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)
Unaffected: 647a18196caad27f96ea852e993c9e30f815357f (git) cpe:2.3:a:frontaccounting:frontaccounting:*:*:*:*:*:*:*:* |
Date Public
2026-04-23 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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