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PatchSiren cyber security CVE debrief

CVE-2026-40522 FrontAccounting CVE debrief

CVE-2026-40522 is a SQL injection vulnerability in FrontAccounting before version 2.4.20. The vulnerability exists in the Bank Statement report handler and allows authenticated attackers to inject malicious SQL syntax through the unparameterized WHERE clause, potentially leading to the extraction of sensitive information from the database, including usernames, password hashes, and email addresses. Defenders should assess exposure and prioritize patching or mitigation, especially in environments where FrontAccounting is used and authenticated access is feasible.

Vendor
FrontAccounting
Product
Unknown
CVSS
HIGH 7.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-29
Original CVE updated
2026-10-24
Advisory published
2026-06-29
Advisory updated
2026-10-24

Who should care

Defenders responsible for FrontAccounting deployments, especially those with authenticated access, should assess exposure and prioritize patching or mitigation. This includes operators, platform administrators, vulnerability management teams, and security teams who need to review the affected scope, severity, and vendor guidance.

Why it matters

CVE-2026-40522 is a SQL injection vulnerability in FrontAccounting that allows authenticated attackers to extract arbitrary database data. Defenders should prioritize patching or mitigating this vulnerability, especially in environments where FrontAccounting is used and authenticated access is feasible.

  • Potential extraction of sensitive information from the database
  • Possible disruption of accounting operations
  • Increased risk of lateral movement or privilege escalation
  • Need for verification of FrontAccounting version and patch status

Technical summary

The vulnerability exists in the Bank Statement report handler of FrontAccounting before version 2.4.20. Authenticated attackers can inject malicious SQL syntax through the unparameterized WHERE clause, potentially leading to the extraction of sensitive information from the database, including usernames, password hashes, and email addresses from the users table. The vulnerability allows attackers to extract arbitrary database data by injecting UNION SELECT payloads into the PARAM_0 POST parameter. Defenders should prioritize patching or mitigating this vulnerability, especially in environments where FrontAccounting is used and authenticated access is feasible.

Defensive priority

Defenders should prioritize patching or mitigating this vulnerability, especially in environments where FrontAccounting is used and authenticated access is feasible.

Recommended defensive actions

  • Patch or upgrade FrontAccounting to version 2.4.20 or later
  • Implement input validation and sanitization for user-supplied data
  • Monitor for suspicious activity and implement logging and auditing
  • Restrict access to the Bank Statement report handler
  • 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

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its CVSS score of 7.1 and HIGH severity. The vulnerability allows attackers to extract arbitrary database data by injecting UNION SELECT payloads into the PARAM_0 POST parameter.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-40522 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-40522

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-40522 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-40522

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.