CVE-2026-7072
SQL Injection in CodePanda Canteen Management System Login API
Publication date: 2026-04-27
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
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Meta Information
Affected Vendors & Products
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-74 | The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. |
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-7072 is a critical SQL injection vulnerability found in the canteen_management_system version 1.0, specifically in the /api/login.php file.
The vulnerability occurs because the 'username' parameter in the login API accepts user input that is directly embedded into SQL queries without proper sanitization or validation.
This lack of input validation allows attackers to inject malicious SQL code remotely, potentially manipulating the database.
No authentication or login is required to exploit this flaw.
A proof-of-concept demonstrates a time-based blind SQL injection attack that confirms the vulnerability by causing a delay in the server response.
How can this vulnerability impact me? :
Exploitation of this vulnerability can lead to unauthorized database access, data leakage, data tampering, full system compromise, and service disruption.
Attackers can manipulate SQL queries to extract sensitive information or alter data without authorization.
Because the attack can be executed remotely without authentication, it poses a significant security risk to affected systems.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the /api/login.php endpoint for SQL injection on the username parameter.
A proof-of-concept involves sending a multipart/form-data POST request with a specially crafted payload that uses a time-based blind SQL injection technique.
- Send a POST request to /api/login.php with the username parameter set to: `admin' AND (SELECT 4924 FROM (SELECT(SLEEP(5)))EHjI) AND 'cwbQ'='cwbQ` and any dummy password.
If the server response is delayed by approximately 5 seconds, it confirms the presence of the SQL injection vulnerability.
Additionally, the sqlmap tool can be used to automate detection and enumeration of the vulnerability.
What immediate steps should I take to mitigate this vulnerability?
- Implement prepared statements with parameter binding to separate SQL code from user input, preventing injection.
- Enforce strict input validation and filtering to ensure inputs conform to expected formats.
- Minimize database user permissions by avoiding use of high-privilege accounts (e.g., root or admin) for routine database operations.
Taking these corrective actions immediately is critical to protect system security and data integrity.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The SQL injection vulnerability in the canteen_management_system allows unauthorized database access, data leakage, and data tampering. Such security breaches can lead to exposure of sensitive personal or health information, which directly impacts compliance with regulations like GDPR and HIPAA that mandate protection of personal and health data.
Failure to remediate this vulnerability could result in non-compliance with these standards due to inadequate protection of data confidentiality, integrity, and availability.
Therefore, addressing this vulnerability is critical to maintaining compliance with common data protection regulations.