CVE-2026-40524 FrontAccounting CVE debrief

Who should care

Defenders responsible for systems using FrontAccounting should assess exposure to this vulnerability and prioritize verification of the version in use. Monitoring for suspicious activity related to journal entry data is also recommended.

Why it matters

This SQL injection vulnerability in FrontAccounting before version 2.4.20 allows attackers to extract sensitive journal entry data. Defenders should prioritize verifying the version in use and monitoring for suspicious activity.

• Extract sensitive journal entry data through boolean-based blind SQL injection
• Verify the version of FrontAccounting in use to assess exposure
• Monitor for suspicious activity related to journal entry data

Technical summary

The get_gl_transactions() function in FrontAccounting before version 2.4.20 is vulnerable to SQL injection. The filter_type parameter is concatenated directly into a SQL IN() clause without parameterization, allowing attackers with SA_GLANALYTIC permission to inject arbitrary SQL. This vulnerability can be exploited through boolean-based blind SQL injection with reliable response size differentials to extract sensitive journal entry data. Defenders should prioritize verifying the version of FrontAccounting in use and assessing exposure to this vulnerability. Inventory checks and monitoring for suspicious activity related to journal entry data are recommended.

Defensive priority

Defenders should prioritize verifying the version of FrontAccounting in use and assessing exposure to this vulnerability. Inventory checks and monitoring for suspicious activity related to journal entry data are recommended.

Recommended defensive actions

• Verify the version of FrontAccounting in use and assess exposure to this vulnerability
• Inventory checks for systems using FrontAccounting
• Monitor for suspicious activity related to journal entry data
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description and CVSS score. Additional information is available from various source references, including GitHub and VulnCheck.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.