Sceawere

Vulnerability Detail

CVE-2026-82613UPDATED Verified Sceawere Triage Sources: NVD / CISA KEV

SQL Injection in Online Medicine Delivery System

Vulnerability Metadata

Severity
High
Score / CVSS
7.3
Creation Date
1d ago
Vendor
itsourcecode
Product
Online Medicine Delivery System
Attack Type
SQL Injection
Vector String
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
Attack Complexity
LOW

Narrative and Response

Description

A vulnerability was detected in itsourcecode Online Medicine Delivery System 1.0. This affects the function loadResultList of the file /index.php?q=product of the component Product Search Interface. Performing a manipulation of the argument Search results in sql injection. The attack may be initiated remotely. The exploit is now public and may be used.

Executive Summary

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Technical Details

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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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Mitigations

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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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References

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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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Additional Metadata

{
  "score": "7.3",
  "pubDate": "2026-08-31T04:17:28.777Z",
  "pubdate": "2026-08-31T04:17:28.777Z",
  "executiveSummary": "The itsourcecode Online Medicine Delivery System 1.0 is affected by a critical SQL injection vulnerability within its product search functionality.\nThe flaw exists in the loadResultList function located in /index.php?q=product, which fails to properly sanitize user-supplied input provided via the Search argument.\nSuccessful exploitation of this vulnerability allows a remote, unauthenticated attacker to manipulate backend database queries, potentially leading to unauthorized data disclosure, modification, or destruction of database records.\nThe vulnerability is publicly disclosed, significantly increasing the risk of exploitation by threat actors targeting this platform.\nGiven the nature of the application, which likely stores sensitive customer information and medical order data, the potential impact on confidentiality, integrity, and availability is high.\nImplementation of robust input validation and the use of prepared statements are required to remediate this security flaw.",
  "technicalDetails": "The vulnerability is classified as an SQL injection (SQLi), stemming from improper input sanitization in the application's search feature. The specific affected component is the Product Search Interface, which utilizes the loadResultList function within /index.php?q=product to process user requests.\nThe root cause is the direct concatenation of the user-provided 'Search' argument into an SQL query executed by the database driver without sufficient validation, escaping, or parameterization. By injecting crafted SQL syntax into this input parameter, an attacker can alter the intended logic of the database query executed by the application.\nExploitation is conducted remotely and does not require prior authentication or elevated privileges. An attacker can initiate the attack by sending a specifically crafted HTTP request containing malicious SQL fragments within the 'Search' parameter to the vulnerable endpoint.\nThe attack flow begins when the user submits a search query. The application receives this input and, rather than treating it as literal data, incorporates it directly into an SQL statement, such as 'SELECT * FROM products WHERE name LIKE '%[User Input]%''. By injecting inputs like ' OR 1=1 --', an attacker can bypass search filters to return all records from the database table. Advanced payloads can be utilized to perform UNION-based attacks to extract data from other tables, or blind SQL injection techniques to infer database structure and content character-by-character.\nThe post-exploitation impact includes unauthorized access to the underlying database, which may contain sensitive medicine inventory data, user profiles, authentication credentials, and transaction histories. Furthermore, depending on database permissions, an attacker might be able to modify application data, drop tables, or potentially leverage the database connection to gain further access to the host server environment."
}