CVE-2026-1599: Bdtask Bhojon RCE Vulnerability

CVE-2026-1599 Overview

A business logic vulnerability has been identified in Bdtask Bhojon All-In-One Restaurant Management System up to version 20260116. The vulnerability exists in the checkout component's /hungry/placeorder file, where improper handling of order-related parameters allows attackers to manipulate critical financial values. By exploiting this flaw, malicious actors can tamper with the orggrandTotal, vat, service_charge, and grandtotal arguments to bypass proper pricing calculations.

Critical Impact

Attackers can remotely manipulate checkout pricing parameters to place orders with fraudulent totals, potentially causing significant financial losses for restaurant businesses using this system.

Affected Products

• Bdtask Bhojon All-In-One Restaurant Management System up to version 20260116
• Checkout component at /hungry/placeorder endpoint

Discovery Timeline

• 2026-01-29 - CVE-2026-1599 published to NVD
• 2026-01-29 - Last updated in NVD database

Technical Details for CVE-2026-1599

Vulnerability Analysis

This vulnerability falls under business logic errors (CWE-840), which occur when application logic can be exploited to achieve unintended outcomes. In this case, the Bhojon Restaurant Management System fails to properly validate and enforce pricing calculations server-side during the checkout process.

The affected endpoint /hungry/placeorder accepts user-controlled input for financial parameters including the original grand total (orggrandTotal), VAT amount (vat), service charges (service_charge), and the final grandtotal. When these parameters are submitted during checkout, the application appears to trust the client-supplied values rather than recalculating them from the actual order items on the server side.

This design flaw enables attackers to intercept the checkout request and modify financial values to arbitrary amounts, potentially submitting orders with significantly reduced or zero totals while receiving full service.

Root Cause

The root cause is insufficient server-side validation of pricing parameters during order placement. The application fails to implement proper business logic controls that would recalculate order totals based on item prices stored in the backend database. Instead, it relies on client-submitted values, violating the fundamental security principle of never trusting user input for sensitive calculations.

Attack Vector

The attack is network-based and can be executed remotely by any authenticated user. An attacker intercepts the HTTP request sent to /hungry/placeorder during the checkout process, then modifies the financial parameters (orggrandTotal, vat, service_charge, grandtotal) to desired values before forwarding the request to the server. This can be accomplished using browser developer tools, proxy tools like Burp Suite, or custom scripts.

The vulnerability mechanism involves manipulating checkout parameters during order submission. An attacker would place items in their cart normally, then intercept the checkout request and modify the total amount fields to arbitrary values (such as reducing a $100 order to $1). Since the server does not recalculate these values from the actual cart contents, the manipulated order is processed with fraudulent pricing. Technical details and a demonstration video are available through the GitHub PoC Issue #13 and YouTube Security Video.

Detection Methods for CVE-2026-1599

Indicators of Compromise

• Orders with unusually low grand totals that don't match the sum of ordered items
• Discrepancies between calculated VAT/service charges and reported values in order records
• HTTP POST requests to /hungry/placeorder with modified or suspicious parameter values
• Multiple orders from the same user with abnormally low totals

Detection Strategies

• Implement logging and alerting for orders where submitted totals differ significantly from expected calculated values
• Monitor for requests to the checkout endpoint with anomalous financial parameter values
• Review order history for pricing discrepancies between cart contents and final charged amounts
• Deploy web application firewalls (WAF) to detect parameter tampering attempts

Monitoring Recommendations

• Enable detailed transaction logging on the /hungry/placeorder endpoint
• Set up alerts for orders below a minimum threshold or with zero values for VAT/service charges
• Implement anomaly detection for checkout patterns that deviate from normal business operations
• Periodically audit order records to identify potential exploitation attempts

How to Mitigate CVE-2026-1599

Immediate Actions Required

• Implement server-side recalculation of all pricing parameters during checkout, ignoring client-submitted totals
• Add validation checks to ensure submitted totals match recalculated values based on cart contents
• Consider temporarily disabling online ordering functionality until proper validation is implemented
• Review existing orders for potential fraudulent transactions

Patch Information

No vendor patch is currently available. According to the vulnerability disclosure, the vendor (Bdtask) was contacted about this issue but did not respond. Organizations using this software should implement the workarounds below and monitor for any future security updates from the vendor. Additional information is available at VulDB #343361.

Workarounds

• Implement server-side validation middleware that recalculates all pricing from database values before processing orders
• Add integrity checks comparing submitted totals against expected values with strict tolerance thresholds
• Deploy a reverse proxy or WAF rule to flag requests with suspicious financial parameter modifications
• Consider implementing digital signatures or checksums on pricing data to detect tampering

Server-side validation should recalculate the grand total using item prices from the database, then compare against submitted values. If discrepancies exceed acceptable tolerance (accounting for rounding), the transaction should be rejected. This validation must occur before any order is persisted to the database to prevent fraudulent transactions from being processed.