CVE-2026-42031 Scanner
CVE-2026-42031 Scanner - SQL Injection vulnerability in CKAN
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
11 days 17 hours
Scan only one
URL
Toolbox
CKAN is a popular open-source data management system used for creating and managing open data portals. Organizations around the world, including governments and companies, use CKAN to manage their open data programs effectively. Its flexible architecture allows users to publish, share, and query a diverse range of datasets, making it a preferred choice for open data solutions. The platform supports a variety of enhancements through extensions, allowing for further customization and adaptability to different needs. Its intuitive interface makes data accessible to non-technical users, facilitating data transparency and insight generation. CKAN is deployed on numerous platforms, providing scalability for both small and extensive datasets.
SQL Injection is a critical vulnerability that allows attackers to interfere with the queries that an application makes to its database. This unauthenticated vulnerability has been identified in CKAN's 'datastore_search_sql' API endpoint. Such vulnerabilities often result from improperly sanitized inputs allowing attackers to execute arbitrary SQL code. If exploited, the vulnerability can lead to unauthorized data access, data exfiltration, or potential data modification due to the injection of rogue SQL statements. As this flaw requires no credentials, its ease of exploitation makes it especially risky. Overall, it highlights the need for secure coding practices and regular security assessments.
The vulnerability resides in the 'datastore_search_sql' API endpoint, which is part of CKAN's data management framework. The endpoint fails to sufficiently sanitize SQL queries, allowing attackers to craft inputs that execute arbitrary SQL commands. Through this lack of input validation, attackers can exploit the API to inject SQL code, potentially extracting sensitive information. The flaw primarily affects PostgreSQL databases, often used by CKAN deployments, giving attackers access to valuable and sensitive data such as system catalog tables and private resources. Proper exploitation could also target user credentials, putting data integrity at further risk. Remediation involves updating CKAN to secure releases and implementing stricter input validation.
If this SQL injection vulnerability is exploited by an attacker, it can have various severe consequences. The unauthorized extraction of sensitive and confidential data from the database poses a significant privacy and data protection risk. Compromised credentials may lead to additional unauthorized access and potential misuse of the application. Furthermore, any unauthorized modifications to the database through injected SQL commands could damage data integrity and affect system operations. Given the database access level afforded by the vulnerability, the effects of such an attack can be extensive if mitigations are not promptly applied.
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