CVE-2026-32949 Overview
CVE-2026-32949 is a Server-Side Request Forgery (SSRF) vulnerability in SQLBot, an intelligent data query system based on large language models and RAG (Retrieval-Augmented Generation). This vulnerability allows attackers to retrieve arbitrary system and application files from vulnerable servers through a specially crafted MySQL data source configuration.
The vulnerability exists in the /api/v1/datasource/check endpoint, where an attacker can configure a forged MySQL data source with a malicious extraJdbc="local_infile=1" parameter. When SQLBot's backend attempts to verify connectivity to this data source, an attacker-controlled Rogue MySQL server can issue a malicious LOAD DATA LOCAL INFILE command during the MySQL handshake, forcing the target server to read and transmit arbitrary local files back to the attacker.
Critical Impact
Attackers can exfiltrate sensitive system files such as /etc/passwd, application configuration files, credentials, and other confidential data from vulnerable SQLBot servers without authentication.
Affected Products
- fit2cloud sqlbot versions prior to 1.7.0
Discovery Timeline
- 2026-03-20 - CVE-2026-32949 published to NVD
- 2026-03-23 - Last updated in NVD database
Technical Details for CVE-2026-32949
Vulnerability Analysis
This SSRF vulnerability exploits the MySQL protocol's LOAD DATA LOCAL INFILE feature in combination with SQLBot's data source connectivity verification functionality. The attack leverages a well-known MySQL client-side file read attack pattern, where a Rogue MySQL server can instruct connecting clients to send the contents of arbitrary local files.
The vulnerability is classified under CWE-73 (External Control of File Name or Path), as the attacker can manipulate file paths that the vulnerable application reads and transmits. The network-based attack vector requires no authentication and no user interaction, making it particularly dangerous for internet-exposed SQLBot instances.
Root Cause
The root cause lies in SQLBot's insufficient validation of MySQL JDBC connection parameters. When processing data source verification requests, the application accepts the local_infile=1 parameter without proper security controls. This parameter enables the MySQL client's local file reading capability, which can be abused by a malicious server during the connection handshake phase.
The MySQL protocol's handshake allows the server to request files from the client before authentication is completed, making this a potent attack vector when combined with the SSRF-like ability to direct SQLBot to connect to arbitrary MySQL endpoints.
Attack Vector
The attack chain operates as follows:
- The attacker sets up a Rogue MySQL server configured to request specific files via LOAD DATA LOCAL INFILE during client connections
- The attacker sends a crafted request to SQLBot's /api/v1/datasource/check endpoint, specifying their malicious MySQL server as the data source with extraJdbc="local_infile=1"
- SQLBot initiates a connection to verify the data source's connectivity
- During the MySQL handshake, the Rogue MySQL server sends a LOAD DATA LOCAL INFILE command requesting a target file (e.g., /etc/passwd)
- SQLBot's MySQL client reads the requested file and transmits its contents to the attacker's server
This attack requires no prior authentication to the SQLBot application and can be executed remotely over the network.
Detection Methods for CVE-2026-32949
Indicators of Compromise
- Unusual outbound MySQL connections (port 3306) from SQLBot servers to unfamiliar IP addresses
- Web server logs showing POST requests to /api/v1/datasource/check with suspicious extraJdbc parameters containing local_infile=1
- MySQL connection logs indicating LOAD DATA LOCAL INFILE operations for sensitive system files
- Network traffic containing file contents (e.g., /etc/passwd patterns) in MySQL protocol streams
Detection Strategies
- Monitor HTTP requests to /api/v1/datasource/check endpoint for local_infile parameter usage
- Implement network-level detection for outbound MySQL connections to non-whitelisted destinations
- Deploy file integrity monitoring on sensitive configuration files to detect unauthorized access attempts
- Use application-level logging to track data source verification requests and associated connection parameters
Monitoring Recommendations
- Enable detailed logging for SQLBot's data source management API endpoints
- Configure network security monitoring to alert on MySQL protocol traffic to external IP addresses
- Implement SIEM rules to correlate data source check requests with subsequent outbound MySQL connections
- Review and audit data source configurations periodically for suspicious entries
How to Mitigate CVE-2026-32949
Immediate Actions Required
- Upgrade SQLBot to version 1.7.0 or later immediately
- Restrict network access to the /api/v1/datasource/check endpoint to authorized administrators only
- Implement firewall rules to limit outbound MySQL connections from SQLBot servers to known, trusted database hosts
- Review access logs for evidence of exploitation attempts against the vulnerable endpoint
Patch Information
The vulnerability has been fixed in SQLBot version 1.7.0. The patch is available via the GitHub Release v1.7.0. For detailed information about the security fix, refer to the GitHub Security Advisory GHSA-wqj3-xcxf-j9m9 and the commit ff98514.
Workarounds
- Block or filter requests containing local_infile in JDBC parameters at the web application firewall or reverse proxy level
- Implement network segmentation to prevent SQLBot servers from initiating outbound connections to arbitrary external MySQL servers
- If possible, disable or restrict access to the /api/v1/datasource/check endpoint until the patch can be applied
- Configure MySQL client libraries to explicitly disable LOCAL INFILE capability at the system level
# Example: Restrict outbound MySQL connections using iptables
# Allow connections only to known database servers
iptables -A OUTPUT -p tcp --dport 3306 -d trusted.db.server.ip -j ACCEPT
iptables -A OUTPUT -p tcp --dport 3306 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

