SQL Injection in Guardian Language-System via text_file.php

Executive Summary

This vulnerability exists in the Guardian language-system where the id GET parameter is directly inserted into an unsanitized SQL query in the file text_file.php at line 17.

Because the input is not sanitized, an authenticated attacker can exploit this by performing error-based SQL injection, which allows them to extract contents from the database.

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Detection Guidance

This vulnerability can be detected by testing the 'id' GET parameter in the text_file.php endpoint for SQL injection flaws. Since the vulnerability is an error-based SQL injection, sending specially crafted input that causes SQL errors can help identify the issue.

• Use curl or a web browser to send requests with SQL injection payloads to the vulnerable parameter, for example: curl "http://target/text_file.php?id=1'"
• Look for SQL error messages or unusual responses indicating the database is processing injected SQL.
• Use automated SQL injection detection tools such as sqlmap targeting the 'id' parameter on text_file.php to confirm the vulnerability.

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Impact Analysis

This vulnerability can have a severe impact as it allows an attacker to extract sensitive data from the database without proper authorization.

The CVSS v3.1 score of 9.8 indicates a critical severity with high impact on confidentiality, integrity, and availability.

An attacker could gain access to sensitive information, modify data, or disrupt the availability of the system.

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Compliance Impact

The vulnerability allows an unauthenticated attacker to perform SQL injection and extract sensitive database contents. This exposure of sensitive data can lead to violations of data protection regulations such as GDPR and HIPAA, which require the protection of personal and sensitive information from unauthorized access.

Because the vulnerability results in a high severity risk of data confidentiality, integrity, and availability compromise, affected organizations may fail to meet compliance requirements that mandate secure handling and protection of sensitive data.

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Mitigation Strategies

Immediate mitigation steps include sanitizing and validating the 'id' GET parameter before it is used in SQL queries to prevent injection.

Use prepared statements or parameterized queries instead of directly embedding user input into SQL commands.

Restrict access to the vulnerable endpoint to authenticated and authorized users if possible.

Monitor logs for suspicious requests targeting the 'id' parameter and block malicious IPs.

Apply any available patches or updates from the Guardian Language-System project that address this vulnerability.

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