FrontAccounting up to 2.4.19 PARAM_2/PARAM_3 sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 1.24- |
Summary
A vulnerability was found in FrontAccounting up to 2.4.19. It has been classified as critical. Affected by this issue is some unknown functionality. This manipulation of the argument PARAM_2/PARAM_3 causes sql injection. This vulnerability is tracked as CVE-2026-40523. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.
Details
A vulnerability classified as critical was found in FrontAccounting up to 2.4.19. Affected by this vulnerability is an unknown code block. The manipulation of the argument PARAM_2/PARAM_3 with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
FrontAccounting before 2.4.20 contains a SQL injection vulnerability in the Audit Trail report handler that allows authenticated attackers with SA_GLANALYTIC permission to execute arbitrary SQL queries by injecting malicious code into the PARAM_2 and PARAM_3 POST parameters. Attackers can exploit time-based blind SQL injection through SLEEP() functions that are amplified across JOIN result sets to cause denial of service by exhausting database connections, or extract arbitrary database content through UNION-based injection techniques.
The weakness was disclosed by Jiva. The advisory is shared at jivasecurity.com. This vulnerability is known as CVE-2026-40523 since 04/13/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.
Upgrading to version 2.4.20 eliminates this vulnerability. Applying the patch 647a18196caad27f96ea852e993c9e30f815357f is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Name
Version
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.4.5
- 2.4.6
- 2.4.7
- 2.4.8
- 2.4.9
- 2.4.10
- 2.4.11
- 2.4.12
- 2.4.13
- 2.4.14
- 2.4.15
- 2.4.16
- 2.4.17
- 2.4.18
- 2.4.19
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.2VulDB Meta Temp Score: 7.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.1
CNA Vector (VulnCheck): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: FrontAccounting 2.4.20
Patch: 647a18196caad27f96ea852e993c9e30f815357f
Timeline
04/13/2026 CVE reserved06/29/2026 Advisory disclosed
06/29/2026 VulDB entry created
06/29/2026 VulDB entry last update
Sources
Advisory: jivasecurity.comResearcher: Jiva
Status: Confirmed
CVE: CVE-2026-40523 (🔒)
GCVE (CVE): GCVE-0-2026-40523
GCVE (VulDB): GCVE-100-374617
Entry
Created: 06/29/2026 16:33Changes: 06/29/2026 16:33 (79)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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