CVE-2026-1599 identifies a business logic vulnerability in the Bdtask Bhojon All-In-One Restaurant Management System version 20260116 and earlier. The vulnerability resides in an unspecified function within the /hungry/placeorder endpoint of the Checkout component. Attackers can manipulate key financial parameters—orggrandTotal, vat, service_charge, and grandtotal—during the order placement process. This manipulation leads to business logic errors, such as incorrect calculation or validation of order totals, potentially allowing attackers to reduce payable amounts or bypass charges. The attack vector is remote and does not require any authentication or user interaction, increasing the risk of exploitation. Although the vendor was notified early, no patch or mitigation guidance has been provided, and the exploit details have been publicly disclosed. The CVSS 4.0 base score is 5.3 (medium severity), reflecting the ease of remote exploitation without privileges but limited impact on confidentiality and availability. The vulnerability primarily threatens the integrity of financial transactions within the restaurant management system, which could result in financial loss, fraud, and operational disruption. Since the affected system is used for order processing in hospitality environments, exploitation could undermine business trust and cause revenue leakage. No known exploits in the wild have been reported yet, but public disclosure increases the risk of active exploitation. Organizations relying on this software should conduct immediate risk assessments and implement compensating controls.

For European organizations, particularly those in the hospitality and restaurant sectors using the Bhojon All-In-One Restaurant Management System, this vulnerability poses a risk of financial fraud and revenue loss due to manipulation of order totals and charges. Attackers could exploit the flaw to place orders with incorrect pricing, bypassing VAT, service charges, or reducing the grand total, directly impacting the organization's income and accounting accuracy. This could also lead to reputational damage if customers or partners perceive the system as insecure. Operational disruptions may occur if fraudulent transactions trigger disputes or require manual reconciliation. Since the vulnerability does not affect confidentiality or availability directly, the primary impact is on data integrity and financial correctness. European organizations with integrated payment and accounting systems may face cascading effects if manipulated data propagates through financial reporting or tax filings. The lack of vendor response and patch availability increases the window of exposure, necessitating proactive mitigation. Additionally, regulatory compliance risks may arise if financial inaccuracies are detected during audits, especially under strict EU financial and data protection regulations.

1. Implement strict server-side validation and sanitization of all financial input parameters (orggrandTotal, vat, service_charge, grandtotal) to ensure they conform to expected formats and logical constraints before processing orders. 2. Introduce business logic checks that cross-verify calculated totals against submitted values to detect discrepancies and reject manipulated orders. 3. Monitor order placement logs for anomalies such as unusually low totals, missing VAT or service charges, or repeated adjustments from the same source IP addresses. 4. Employ rate limiting and IP reputation filtering on the /hungry/placeorder endpoint to reduce the risk of automated exploitation attempts. 5. Segregate payment processing from order submission logic where possible, requiring independent verification of financial transactions. 6. Maintain up-to-date backups and audit trails to enable forensic analysis and recovery in case of fraudulent activity. 7. Engage with the vendor or community to obtain patches or updates; if none are forthcoming, consider alternative software solutions or custom patches. 8. Educate staff to recognize and report suspicious order activities and discrepancies in billing. 9. Review and enhance overall application security posture, including web application firewalls (WAFs) configured to detect business logic abuse patterns. 10. Prepare incident response plans specific to financial fraud scenarios related to order manipulation.