CVE-2017-11419 in Fiyo
Summary
by MITRE
Fiyo CMS 2.0.7 has SQL injection in /apps/app_article/controller/editor.php via $_POST['id'] and $_POST['art_title'].
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Analysis
by VulDB Data Team • 10/27/2019
The vulnerability identified as CVE-2017-11419 affects Fiyo CMS version 2.0.7 and represents a critical SQL injection flaw that can be exploited through the application's article management functionality. This vulnerability specifically targets the /apps/app_article/controller/editor.php script where user input parameters are not properly sanitized before being incorporated into database queries. The attack vector involves manipulating the $_POST['id'] and $_POST['art_title'] parameters, which are directly used in SQL construction without adequate validation or escaping mechanisms. The flaw stems from the application's failure to implement proper input sanitization and parameterized query execution, creating an environment where malicious actors can inject arbitrary SQL commands into the database layer. This vulnerability is classified under CWE-89, which specifically addresses SQL injection weaknesses in software applications. The attack surface is particularly concerning as it affects core content management functionality, potentially allowing unauthorized users to execute malicious database operations. The operational impact extends beyond simple data theft, as successful exploitation could enable attackers to modify, delete, or extract sensitive information from the CMS database. The vulnerability aligns with ATT&CK technique T1071.004, which covers application layer protocol manipulation, specifically targeting database communication channels. Attackers could leverage this weakness to escalate privileges within the CMS environment, potentially gaining access to administrative functions and user credentials stored in the database.
The technical implementation of this vulnerability demonstrates a classic case of improper input validation where the application directly incorporates user-supplied data into SQL queries without proper sanitization. When an attacker submits malicious input through the editor.php endpoint, the application processes the $_POST['id'] and $_POST['art_title'] parameters by concatenating them directly into SQL statements without using prepared statements or proper escaping mechanisms. This design flaw allows for the injection of SQL syntax elements such as UNION clauses, comment markers, or additional SQL commands that can alter the intended query execution flow. The vulnerability is particularly dangerous because it affects parameters commonly used in content management systems, making it accessible to attackers who may already have basic access to the CMS interface. The exploitation process typically involves crafting payloads that can bypass authentication mechanisms or manipulate database records to achieve unauthorized access. The database layer becomes vulnerable to commands that could extract sensitive information including user accounts, session tokens, or other critical system data. This weakness represents a fundamental breakdown in the application's defense-in-depth strategy, as it fails to implement proper input validation at multiple layers of the application architecture.
The operational consequences of this vulnerability extend far beyond immediate data compromise, as it can serve as a foothold for more extensive attacks within the compromised system. Successful exploitation could enable attackers to gain persistent access to the CMS environment, potentially allowing them to modify content, inject malicious code, or establish backdoors for future access. The vulnerability's impact is amplified by the fact that it affects core CMS functionality, meaning that even users with limited privileges could potentially exploit it to escalate their access levels. Organizations running affected versions of Fiyo CMS face significant risk of data breaches, content tampering, and potential service disruption. The vulnerability also increases the attack surface for related systems, as compromised CMS instances often serve as entry points for broader network infiltration attempts. From a compliance perspective, this vulnerability could result in violations of data protection regulations and security standards such as those outlined in the NIST Cybersecurity Framework. The potential for lateral movement within networks makes this vulnerability particularly concerning for organizations that rely on CMS platforms for their web presence and content management operations.
Mitigation strategies for CVE-2017-11419 should prioritize immediate remediation through software updates and patches provided by the vendor. Organizations should implement comprehensive input validation mechanisms that sanitize all user-supplied data before processing, particularly focusing on parameters that are directly incorporated into database queries. The implementation of prepared statements or parameterized queries should be mandatory for all database interactions to prevent SQL injection attacks from occurring at the execution layer. Network segmentation and access controls should be enhanced to limit exposure of vulnerable endpoints and reduce the attack surface available to potential adversaries. Security monitoring should be implemented to detect anomalous database query patterns that could indicate exploitation attempts, with particular attention to unusual SQL command structures or unauthorized data access patterns. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in other components of the application stack. Additionally, implementing web application firewalls and database activity monitoring tools can provide additional layers of protection against exploitation attempts. Organizations should also ensure that their incident response procedures include specific protocols for handling SQL injection vulnerabilities, with clear escalation paths and communication strategies to address potential breaches. The remediation process should include thorough testing to ensure that patches do not introduce regressions in application functionality while maintaining the security improvements necessary to address the vulnerability.