CVE-2014-100019 in Pomm
Summary
by MITRE
SQL injection vulnerability in the LTree converter in Pomm before 1.1.5 allows remote attackers to execute arbitrary SQL commands via unspecified vectors.
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Analysis
by VulDB Data Team • 04/11/2022
The CVE-2014-100019 vulnerability represents a critical SQL injection flaw within the LTree converter component of the Pomm framework version 1.1.4 and earlier. This vulnerability specifically targets the database abstraction layer that handles PostgreSQL's ltree data type, which is used for hierarchical data storage and querying. The LTree converter serves as an intermediary between PHP applications and PostgreSQL's native ltree functionality, enabling developers to work with hierarchical data structures such as file systems, organizational charts, or category trees. The flaw exists in how the framework processes and sanitizes input data when converting PHP representations of ltree data into SQL queries for PostgreSQL execution.
The technical implementation of this vulnerability stems from insufficient input validation and sanitization within the LTree converter's query building logic. When applications using Pomm framework process hierarchical data structures through ltree columns, the framework constructs SQL queries that incorporate user-supplied data directly into the query execution path. Attackers can exploit this by crafting malicious input that bypasses the normal sanitization mechanisms, allowing them to inject arbitrary SQL commands that get executed within the database context. The unspecified vectors suggest that the vulnerability could be triggered through multiple entry points within the framework's interaction with ltree data types, making it particularly challenging to fully assess the attack surface. This type of vulnerability falls under CWE-89 which specifically addresses SQL injection flaws, and represents a classic case of improper input handling in database interaction components.
The operational impact of CVE-2014-100019 is severe and multifaceted, potentially enabling remote attackers to gain unauthorized access to database systems and execute arbitrary commands with the privileges of the database user. Successful exploitation could result in data theft, data corruption, privilege escalation, or complete database compromise. Since the vulnerability affects the core database abstraction layer, it impacts all applications using Pomm framework with ltree data types, potentially affecting organizations with complex hierarchical data structures in their database schemas. The remote nature of the attack means that exploitation can occur without requiring physical access to the system, making it particularly dangerous for web applications. From an adversarial perspective, this vulnerability aligns with ATT&CK technique T1190 for exploiting vulnerabilities in web applications and T1078 for gaining access to database systems through compromised applications. The vulnerability's impact is amplified in environments where database users have elevated privileges or where the database contains sensitive information such as user credentials, financial data, or personal information.
Organizations affected by this vulnerability should immediately upgrade to Pomm framework version 1.1.5 or later, which includes proper input sanitization and validation for the LTree converter. Security teams should conduct comprehensive audits of all applications using Pomm framework to identify and remediate any custom code that might be vulnerable to similar injection patterns. Network segmentation and database access controls should be reviewed to limit the potential impact of successful exploitation. Additionally, implementing database query logging and monitoring systems can help detect suspicious SQL patterns that may indicate exploitation attempts. The vulnerability demonstrates the importance of thorough input validation in database abstraction layers and highlights the need for security testing of framework components that handle data type conversions. Organizations should also consider implementing web application firewalls and database activity monitoring solutions to provide additional defense-in-depth measures against similar vulnerabilities in their database interactions.