CVE-2015-10044 in sqldump
Summary
by MITRE • 01/15/2023
A vulnerability classified as critical was found in gophergala sqldump. This vulnerability affects unknown code. The manipulation leads to sql injection. The name of the patch is 76db54e9073b5248b8863e71a63d66a32d567d21. It is recommended to apply a patch to fix this issue. VDB-218350 is the identifier assigned to this vulnerability.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 02/07/2023
The vulnerability identified as CVE-2015-10044 represents a critical sql injection flaw within the gophergala sqldump application, a tool designed for database dumping and management operations. This vulnerability resides in code that processes user input without proper sanitization or validation, creating a significant security risk for systems utilizing this software. The issue stems from inadequate input handling mechanisms that fail to properly escape or filter malicious sql payloads, allowing attackers to inject arbitrary sql commands into the database layer. The vulnerability affects the core functionality of the application where database queries are constructed based on user-supplied parameters, making it particularly dangerous as it can potentially lead to complete database compromise.
The technical exploitation of this sql injection vulnerability follows standard attack patterns where malicious input is crafted to manipulate the underlying sql query execution flow. Attackers can leverage this flaw to execute unauthorized database operations including data extraction, modification, or deletion, depending on the database user permissions. The vulnerability's classification as critical indicates that it can be exploited remotely without requiring authentication and can result in complete system compromise. The specific patch identifier 76db54e9073b5248b8863e71a63d66a32d567d21 provides the exact code modifications necessary to address the input validation deficiencies. This patch likely implements proper parameterized queries or input sanitization routines that prevent malicious sql code from being executed as part of legitimate database operations.
The operational impact of this vulnerability extends beyond simple data theft, encompassing potential system-wide compromise and business disruption. Organizations relying on gophergala sqldump for database management tasks face significant risk of unauthorized data access, data corruption, or complete database takeover. The vulnerability's exploitation can lead to compliance violations, regulatory penalties, and reputational damage when sensitive information is exposed or compromised. The attack surface is particularly concerning given that sql injection vulnerabilities are among the most commonly exploited security flaws in web applications and database tools, with the attack technique mapping directly to CWE-89 sql injection weakness category. This vulnerability also aligns with multiple ATT&CK techniques including T1071.004 application layer protocol and T1046 network service scanning, as attackers often probe for such vulnerabilities during reconnaissance phases.
Security practitioners should prioritize immediate patch deployment to address this vulnerability, as the critical severity classification indicates high exploitability and potential for widespread impact. The recommended remediation involves applying the specific patch referenced in the vulnerability identifier to ensure proper input validation and sql query construction. Organizations should also implement additional defensive measures including web application firewalls, database activity monitoring, and regular security assessments to detect potential exploitation attempts. The vulnerability demonstrates the importance of proper input validation and parameterized queries in preventing sql injection attacks, aligning with industry best practices established in standards such as OWASP Top Ten and NIST cybersecurity guidelines. Regular vulnerability assessments and security code reviews should be implemented to identify similar weaknesses in other applications and systems within the organization's infrastructure.