SQL Injection in Guardian Language-System

Executive Summary

This vulnerability is an unauthenticated SQL injection in the Guardian language-system, specifically in the job_info.php file. The 'id' GET parameter is passed directly into an unsanitized SQL query without any validation or authentication. This allows an attacker to inject malicious SQL code.

By exploiting this flaw, an attacker can perform error-based SQL injection to extract sensitive information from the database, such as the database version, current user, schema names, and table contents.

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Detection Guidance

This vulnerability can be detected by testing the 'id' GET parameter in the job_info.php file for SQL injection vulnerabilities. Since the parameter is directly passed into an unsanitized SQL query, sending specially crafted input that causes SQL errors or unexpected responses can reveal the issue.

Common detection methods include using SQL injection testing tools or manual commands such as appending SQL syntax to the 'id' parameter in the URL to observe error messages or database responses.

• Example command to test via curl: curl "http://target/job_info.php?id=1'"
• Example command to test via curl with error-based payload: curl "http://target/job_info.php?id=1' OR '1'='1"
• Look for database error messages or unusual output indicating SQL injection vulnerability.

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Impact Analysis

This vulnerability can have severe impacts because it allows an unauthenticated attacker to access sensitive database information without any restrictions.

• Disclosure of database version and current user, which can aid further attacks.
• Extraction of schema names and table contents, potentially exposing confidential data.
• Complete compromise of confidentiality, integrity, and availability of the affected system, as indicated by the high CVSS scores.

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Compliance Impact

The vulnerability allows unauthenticated attackers to perform SQL injection and extract sensitive database information, including schema names and table 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 enables unauthorized data extraction without authentication, it undermines confidentiality, integrity, and availability controls mandated by these standards, potentially resulting in non-compliance and legal consequences.

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Mitigation Strategies

Immediate mitigation steps include sanitizing and validating the 'id' GET parameter in job_info.php to prevent direct insertion into SQL queries.

Implement prepared statements or parameterized queries to safely handle user input and avoid SQL injection.

Restrict access to the vulnerable script if possible until a patch or fix is applied.

Monitor logs for suspicious requests targeting the 'id' parameter to detect exploitation attempts.

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