SQLBot uploadExcel एंडपॉइंट में बिना प्रमाणीकरण के मनमाना फ़ाइल अपलोड भेद्यता (Unauthenticated Arbitrary File Upload vulnerability)

The impact of CVE-2025-69285 is significant due to the ease of exploitation and potential for data compromise. An attacker can leverage this vulnerability to inject arbitrary data into the SQLBot's PostgreSQL database without authentication. This could lead to data manipulation, corruption, or even complete database takeover. The use of tosql() with ifexists='replace' mode means that existing data can be overwritten, leading to a complete loss of information. Successful exploitation could also be used as a stepping stone for further attacks, such as gaining access to sensitive information stored within the database or pivoting to other systems on the network.

Organizations utilizing SQLBot for data querying and analysis, particularly those relying on PostgreSQL for data storage, are at risk. Environments with limited network segmentation or inadequate access controls are especially vulnerable. Shared hosting environments where SQLBot is deployed alongside other applications may also be affected, as an attacker could potentially exploit this vulnerability to gain access to other systems.

• postgresql: Use psql -c "SELECT * FROM pgstatactivity WHERE datname = 'yourdatabasename';" to monitor database connections and identify any unexpected or unauthorized connections. • generic web: Use curl -I <SQLBot_URL>/api/v1/datasource/uploadExcel to check if the endpoint is accessible without authentication. A successful response (e.g., 200 OK) indicates a potential vulnerability. • generic web: Examine access logs for requests to /api/v1/datasource/uploadExcel originating from unusual IP addresses or user agents.

1. 2026-01-21Disclosure

   disclosure

1. आरक्षित2025-12-31
2. प्रकाशित2026-01-21
3. EPSS अद्यतन2026-03-23

The primary mitigation for CVE-2025-69285 is to immediately upgrade SQLBot to version 1.5.0 or later, which includes the necessary authentication fix. If upgrading is not immediately feasible, consider implementing temporary workarounds. Restrict access to the /api/v1/datasource/uploadExcel endpoint using a Web Application Firewall (WAF) or proxy server to block unauthorized requests. Implement strict input validation on all uploaded files to prevent malicious content from being processed. Monitor PostgreSQL logs for suspicious activity, such as unexpected data modifications or connections from unknown sources. After upgrading, confirm the fix by attempting to upload a test file without authentication and verifying that the request is rejected.