SECURITYHIGHCVE-2026-82610

CVE-2026-82610: SQL Injection in itsourcecode Online Medicine Delivery System

An unauthenticated SQL injection in the employee login of itsourcecode's Online Medicine Delivery System 1.0 has a public exploit available.

Dylan H.

Security Team

August 31, 2026
3 min read
CVE-2026-82610: SQL Injection in itsourcecode Online Medicine Delivery System

Affected Products

  • itsourcecode Online Medicine Delivery System 1.0

Executive Summary

A SQL injection vulnerability (CVE-2026-82610) has been disclosed in itsourcecode's Online Medicine Delivery System 1.0, a PHP-based pharmacy/delivery management application. The flaw sits in the Employee::employeeAuthentication function of /rider/login.php, part of the rider/employee login interface. The emp_email parameter is not properly sanitized, allowing an unauthenticated, remote attacker to inject SQL statements through the login form.

CVSS Score: 7.3 (High, CVSS 3.1/3.0) — assigned by VulDB, tracked as VDB-397111.

A working exploit has already been published, lowering the bar for opportunistic attacks against any internet-facing deployment of this application.


Vulnerability Overview

AttributeValue
CVE IDCVE-2026-82610
CVSS Score7.3 (High)
TypeSQL Injection (CWE-89)
ComponentLogin Interface — /rider/login.php
FunctionEmployee::employeeAuthentication
Parameteremp_email
Attack VectorNetwork (no authentication required)
Exploit StatusPublicly available

Affected Versions

ProductAffected VersionsFixed Version
itsourcecode Online Medicine Delivery System1.0None available

itsourcecode is a source-code marketplace popular with students and small deployments for capstone and portfolio projects; these systems occasionally end up running in low-scrutiny production or demo environments, which is where exposure typically shows up.


Attack Vector

1. Attacker locates a deployment of the Online Medicine Delivery System's rider/employee login page
2. Attacker submits a crafted emp_email value containing SQL metacharacters
3. The unsanitized value is concatenated directly into the authentication query
4. Malicious SQL executes against the backend database
5. Attacker bypasses authentication and/or extracts database contents

Impact of Successful Exploitation

ImpactDescription
Authentication BypassLog in as an employee/rider without valid credentials
Data ExposureRead patient, order, and account records from the database
Data ManipulationAlter or delete records depending on DB permissions
Pivot PointUse the compromised app as an entry point into connected pharmacy or delivery infrastructure

This is one of a cluster of related SQL injection flaws reported in the same product line — CVE-2026-82611 affects the customer login's U_USERNAME parameter, and CVE-2026-82612 affects the product detail page — suggesting the application lacks consistent input sanitization across its login and query layers.


Remediation

No vendor-supplied patch is currently available. Until one is released:

  1. Take the application offline or restrict access to trusted networks only if it is internet-facing.
  2. Deploy a WAF rule to block SQL injection patterns on the /rider/login.php endpoint and other login/query parameters.
  3. Review source code for parameterized query support — replace raw string concatenation in authentication queries with prepared statements/bound parameters.
  4. Audit database logs for anomalous queries against the emp_email field and related login endpoints.
  5. Rotate credentials for any accounts with access to the affected instance, and review for unauthorized employee/rider accounts.
  6. Segment the database so the application account has least-privilege access rather than broad read/write rights.

Detection Indicators

IndicatorDescription
Malformed emp_email values in access logsAttempted SQL injection payloads (e.g. quotes, UNION, comment sequences)
Unexpected employee/rider loginsPossible authentication bypass
Database errors referencing the login queryFailed or exploratory injection attempts
Unusual outbound data transfer from the DB hostPost-exploitation data exfiltration

References