CVE-2022-29305 in imgurl
Summary
by MITRE • 05/24/2022
imgurl v2.31 was discovered to contain a Blind SQL injection vulnerability via /upload/localhost.
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Analysis
by VulDB Data Team • 05/29/2022
The vulnerability identified as CVE-2022-29305 affects imgurl version 2.31 and represents a critical blind sql injection flaw that can be exploited through the upload/localhost endpoint. This vulnerability falls under the category of insecure input handling where user-supplied data is not properly sanitized before being processed by the application's database layer. The blind sql injection vulnerability allows an attacker to execute arbitrary sql commands against the backend database without receiving direct feedback, making detection and exploitation more challenging for security monitoring systems.
The technical implementation of this vulnerability stems from insufficient validation and sanitization of input parameters submitted through the upload functionality. When users attempt to upload files via the localhost endpoint, the application fails to properly escape or validate the data before incorporating it into sql queries. This creates an opportunity for attackers to inject malicious sql payloads that can manipulate database operations, potentially leading to unauthorized data access, data modification, or even complete database compromise. The blind nature of the injection means that attackers must rely on indirect methods to determine if their payloads have been successful, often using time-based or out-of-band techniques to infer database responses.
The operational impact of this vulnerability is significant as it can enable attackers to gain unauthorized access to sensitive data stored within the application's database. Depending on the database configuration and the privileges assigned to the application's database user, attackers may be able to extract confidential information, modify or delete records, or escalate their privileges within the system. The vulnerability specifically targets the upload functionality which is often a high-privilege endpoint, potentially allowing attackers to not only access database content but also to potentially upload malicious files that could lead to further system compromise. This vulnerability directly maps to CWE-89 which defines sql injection as the insertion of malicious sql code into input fields for execution by the database, and aligns with ATT&CK technique T1190 which covers exploitation of remote services through sql injection attacks.
Mitigation strategies for this vulnerability should include immediate implementation of proper input validation and sanitization measures to prevent sql injection attacks. The application should employ parameterized queries or prepared statements to ensure that user input is never directly concatenated into sql commands. Additionally, input validation should be implemented at multiple layers including client-side, application-level, and database-level to provide defense-in-depth protection. Security patches should be applied immediately to update imgurl to a version that addresses this vulnerability, and the application should be configured with the principle of least privilege for database connections. Network segmentation and monitoring should be implemented to detect anomalous database access patterns that may indicate exploitation attempts. Regular security testing including sql injection vulnerability scanning should be conducted to identify and remediate similar issues before they can be exploited by malicious actors.