CVE-2025-69285: SQLBot Auth Bypass Vulnerability

CVE-2025-69285 Overview

SQLBot is an intelligent data query system built on large language models and RAG (Retrieval-Augmented Generation) technology. A missing authentication vulnerability has been identified in versions prior to 1.5.0 that allows remote unauthenticated attackers to upload arbitrary Excel and CSV files and inject data directly into the PostgreSQL database through the /api/v1/datasource/uploadExcel endpoint.

Critical Impact

This authentication bypass vulnerability enables unauthenticated remote attackers to inject arbitrary data into the PostgreSQL database, potentially leading to data corruption, unauthorized data manipulation, and compromise of data integrity within SQLBot deployments.

Affected Products

• SQLBot versions prior to 1.5.0
• Deployments with the /api/v1/datasource/uploadExcel endpoint exposed
• Systems using the vulnerable TokenMiddleware authentication whitelist

Discovery Timeline

• 2026-01-21 - CVE CVE-2025-69285 published to NVD
• 2026-01-21 - Last updated in NVD database

Technical Details for CVE-2025-69285

Vulnerability Analysis

This vulnerability stems from a critical authentication design flaw in SQLBot's API architecture. The /api/v1/datasource/uploadExcel endpoint was explicitly added to the authentication whitelist, which causes the TokenMiddleware component to completely bypass all token validation for requests to this endpoint. This design decision effectively removes any authentication barrier for file upload operations.

Once files are uploaded through this unauthenticated endpoint, they are parsed using the pandas library and inserted into the PostgreSQL database via the to_sql() function with the if_exists='replace' mode. This replacement mode is particularly dangerous as it allows attackers to overwrite existing database tables with malicious content.

The vulnerability is classified under CWE-306 (Missing Authentication for Critical Function), reflecting the fundamental absence of authentication controls on a sensitive data manipulation endpoint.

Root Cause

The root cause of this vulnerability lies in the misconfiguration of the authentication whitelist. By explicitly adding the /api/v1/datasource/uploadExcel endpoint to the whitelist, the developers inadvertently exposed a critical data ingestion pathway without any authentication controls. The TokenMiddleware is designed to skip validation for whitelisted endpoints, which is appropriate for public resources but catastrophic for endpoints that modify database content.

Attack Vector

The attack is network-based and requires no user interaction or prior authentication. An attacker can exploit this vulnerability by sending crafted HTTP requests to the /api/v1/datasource/uploadExcel endpoint with malicious Excel or CSV file payloads. The attack flow involves:

1. Identifying an exposed SQLBot instance with the vulnerable endpoint
2. Crafting a malicious Excel or CSV file containing data intended to corrupt or manipulate the database
3. Sending an unauthenticated POST request to the upload endpoint
4. The pandas library parses the uploaded file and the to_sql() function with if_exists='replace' mode overwrites existing database tables

The vulnerability does not require any special privileges, making it trivially exploitable by any network-accessible attacker.

Detection Methods for CVE-2025-69285

Indicators of Compromise

• Unexpected POST requests to /api/v1/datasource/uploadExcel from unknown or external IP addresses
• Unauthenticated access attempts to the file upload endpoint without valid token headers
• Database table modifications or replacements that correlate with upload activity
• Suspicious Excel or CSV files appearing in upload directories or temporary storage locations

Detection Strategies

• Implement network-level monitoring for requests to the /api/v1/datasource/uploadExcel endpoint
• Configure web application firewalls to alert on unauthenticated file upload attempts
• Enable detailed logging on the SQLBot application to capture all upload requests with source IP information
• Monitor PostgreSQL database for unexpected table modifications or schema changes

Monitoring Recommendations

• Deploy real-time alerting for any access to the vulnerable endpoint from external networks
• Establish baseline database table checksums and monitor for unauthorized changes
• Review web server access logs for patterns of file upload activity without corresponding authentication events
• Implement anomaly detection for unusual data volume insertions into the PostgreSQL database

How to Mitigate CVE-2025-69285

Immediate Actions Required

• Upgrade SQLBot to version 1.5.0 or later immediately
• If immediate upgrade is not possible, restrict network access to the vulnerable endpoint at the firewall or reverse proxy level
• Audit database tables for unauthorized modifications since deployment
• Review application logs for evidence of exploitation attempts

Patch Information

The vulnerability has been fixed in SQLBot version 1.5.0. The patch removes the /api/v1/datasource/uploadExcel endpoint from the authentication whitelist, ensuring that the TokenMiddleware properly validates tokens for all file upload requests.

For detailed information about the security fix, refer to the GitHub SQLBot Release v1.5.0 and the GitHub Security Advisory GHSA-crfm-cch4-hjpv.

Workarounds

• No official workarounds are available according to the vendor advisory
• As a temporary measure, block access to the /api/v1/datasource/uploadExcel endpoint at the network perimeter using firewall rules or reverse proxy configurations
• Implement IP whitelisting to restrict access to the endpoint to trusted internal networks only
• Consider temporarily disabling the upload functionality until the patch can be applied

# Example nginx configuration to block the vulnerable endpoint
location /api/v1/datasource/uploadExcel {
    deny all;
    return 403;
}