CVE-2019-9047 in GoRoseinfo

Summary

by MITRE

GoRose v1.0.4 has SQL Injection when the order_by or group_by parameter can be controlled.

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Analysis

by VulDB Data Team • 07/19/2023

The vulnerability identified as CVE-2019-9047 affects GoRose version 1.0.4 and represents a critical SQL injection flaw that arises when user-controllable parameters are processed within the application's database query construction logic. This issue specifically manifests in the handling of order_by and group_by parameters, which are commonly used in web applications to control data sorting and aggregation operations. The vulnerability stems from inadequate input validation and sanitization mechanisms that fail to properly escape or parameterize user-supplied data before incorporating it into SQL query strings. When an attacker can manipulate these parameters, they can inject malicious SQL code that executes with the privileges of the database user account associated with the application's database connection. This flaw directly maps to CWE-89, which categorizes SQL injection vulnerabilities as a result of improper neutralization of special elements used in SQL commands, and aligns with ATT&CK technique T1190, which describes the exploitation of SQL injection vulnerabilities to gain unauthorized access to database systems.

The operational impact of this vulnerability extends far beyond simple data retrieval manipulation. An attacker exploiting this SQL injection flaw could potentially extract sensitive information from the database including user credentials, personal identification data, financial records, and proprietary business information. The vulnerability also enables privilege escalation attacks where attackers might elevate their database access levels to gain administrative control over the entire database system. Additionally, the attacker could perform destructive operations such as data modification, deletion, or even database corruption through the injected SQL commands. The specific parameters affected - order_by and group_by - are particularly dangerous because they are often used in application logic that processes user requests for data presentation and reporting, making them prime targets for exploitation. These parameters typically appear in URL query strings or API request parameters, providing multiple attack vectors for potential exploitation.

Mitigation strategies for CVE-2019-9047 should focus on implementing robust input validation and parameterized query construction practices. The most effective approach involves replacing dynamic SQL query construction with prepared statements or parameterized queries that separate the SQL command structure from the user input data. Applications should also implement proper input sanitization measures including character escaping, length validation, and whitelist-based parameter validation for the order_by and group_by parameters. Additionally, implementing proper access controls and database user privilege management can limit the potential damage from successful exploitation attempts. The application should also enforce proper error handling that prevents detailed database error messages from being exposed to end users, as these can provide valuable information for attackers. Security monitoring and logging should be enhanced to detect unusual patterns in database query execution that might indicate SQL injection attempts. Organizations should also consider implementing web application firewalls and intrusion detection systems that can identify and block known SQL injection attack patterns. Regular security assessments and penetration testing should be conducted to ensure that similar vulnerabilities are not present in other application components. The remediation process should include updating to a patched version of GoRose if available, or implementing the necessary code modifications to properly sanitize and validate all user-controllable parameters before database query execution.

Reservation

02/23/2019

Moderation

accepted

CPE

ready

EPSS

0.01537

KEV

no

Activities

very low

Sources

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