CVE-2026-7226
SQL Injection in SourceCodester Pizzafy login2 Enables Remote Exploit
Publication date: 2026-04-28
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| sourcecodester | pizzafy_ecommerce_system | 1.0 |
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-2026-7226 is a critical Error-Based SQL Injection vulnerability in the Pizzafy Ecommerce System version 1.0, specifically affecting the login functionality at the endpoint /pizzafy/admin/ajax.php?action=login2.
The vulnerability occurs because the email parameter is not properly sanitized before being used in a SQL query, allowing attackers to inject malicious SQL commands.
This error-based injection technique forces the database to return sensitive information within error messages, enabling attackers to extract database names, table names, column structures, usernames, password hashes, and potentially manipulate or delete data without authorization.
How can this vulnerability impact me? :
This vulnerability can have several severe impacts:
- Confidentiality: Exposure of the full database schema and user credentials.
- Integrity: Unauthorized deletion or modification of records.
- Availability: Potential denial of service through mass deletion of data.
- Privilege Escalation: Attackers may hijack sessions and gain administrative access by extracting session data.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the login endpoint `/pizzafy/admin/ajax.php?action=login2` for SQL injection via the `email` parameter.
A common detection method is to send crafted POST requests with SQL injection payloads in the `email` field and observe the response for database error messages or unexpected data.
For example, using curl to test the vulnerability:
- curl -X POST -d "email=-3' union select 1,version(),database(),user(),5,6,7%23&password=teste" https://target/pizzafy/admin/ajax.php?action=login2
If the response contains database version, database name, or user information, it confirms the presence of the SQL injection vulnerability.
Additionally, monitoring logs for unusual database errors or unexpected query results can help detect exploitation attempts.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include:
- Implement prepared statements with parameterized queries for the `email` parameter to prevent SQL injection.
- Validate and sanitize all user inputs, especially the `email` and `password` fields.
- Restrict database user privileges to minimize potential damage from exploitation.
- Configure proper error handling to avoid exposing database error messages to users.
- Monitor and log unusual database access patterns and conduct regular security testing including penetration tests and code reviews.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The SQL injection vulnerability in the Pizzafy Ecommerce System 1.0 allows attackers to extract sensitive information such as database schema, user credentials, and session data. This exposure of confidential data can lead to unauthorized access and manipulation of personal and sensitive information.
Such unauthorized disclosure and potential alteration of sensitive data can result in non-compliance with data protection regulations like GDPR and HIPAA, which mandate the protection of personal data and require organizations to implement adequate security measures to prevent data breaches.
Therefore, exploitation of this vulnerability could lead to violations of these standards due to compromised confidentiality, integrity, and availability of protected data.