SQL Injection vulnerability in OpenGnsys

The SQL Injection vulnerability in OpenGnsys poses a significant threat to data confidentiality and integrity. An attacker could exploit this flaw to bypass the login page, gaining unauthorized access to the system. Successful exploitation could lead to the extraction of all data stored in the database, including user credentials, configuration information, and potentially sensitive business data. The impact is particularly severe given the potential for complete data compromise. While no direct precedent is immediately obvious, SQL injection vulnerabilities are consistently among the most exploited flaws, often leading to data breaches and system takeover.

Organizations utilizing OpenGnsys version 1.1.1d (Espeto) are at significant risk. This includes those relying on OpenGnsys for authentication and data storage, particularly those with limited security controls or those who have not implemented robust input validation practices. Shared hosting environments using OpenGnsys are also at increased risk due to the potential for cross-tenant attacks.

• other: Examine OpenGnsys login page requests for unusual SQL syntax or patterns. Monitor database logs for suspicious queries originating from the login endpoint. Review application code for insecure database interactions. • generic web: Use curl to test the login endpoint with various SQL injection payloads (e.g., ' OR '1'='1). Analyze the response for errors or unexpected behavior.

curl -X POST -d "username=test' OR '1'='1&password=password" https://your-opengnsys-instance/login

1. 2024-04-12Disclosure

   disclosure

1. आरक्षित2024-04-12
2. प्रकाशित2024-04-12
3. संशोधित2024-08-01
4. EPSS अद्यतन2026-04-02

The primary mitigation for CVE-2024-3704 is to upgrade OpenGnsys to version 1.1.2, which contains the fix for the SQL Injection vulnerability. If an immediate upgrade is not feasible due to compatibility issues or system downtime constraints, consider implementing temporary workarounds. These may include strict input validation on the login page to sanitize user-supplied data and limiting database user privileges to restrict the impact of a successful injection. Web application firewalls (WAFs) configured to detect and block SQL injection attempts can also provide a layer of protection. After upgrading, verify the fix by attempting a SQL injection attack on the login page – no database errors should be observed.