CVE-2024-39907 Overview
CVE-2024-39907 is a critical SQL Injection vulnerability affecting 1Panel, a web-based Linux server management control panel developed by Fit2cloud. Multiple SQL injection vulnerabilities exist throughout the project where input filtering is inadequate, enabling attackers to exploit these flaws to achieve arbitrary file writes and ultimately Remote Code Execution (RCE) on affected systems.
Critical Impact
Unauthenticated attackers can exploit multiple SQL injection vulnerabilities to write arbitrary files to the server, ultimately achieving remote code execution on Linux servers managed by 1Panel.
Affected Products
- Fit2cloud 1Panel versions prior to 1.10.12-tls
- Linux servers running vulnerable 1Panel installations
- Server infrastructure managed through affected 1Panel deployments
Discovery Timeline
- 2024-07-18 - CVE-2024-39907 published to NVD
- 2024-11-21 - Last updated in NVD database
Technical Details for CVE-2024-39907
Vulnerability Analysis
This vulnerability falls under CWE-89 (SQL Injection), a classic web application security flaw where user-supplied input is improperly sanitized before being incorporated into SQL queries. In the case of 1Panel, multiple SQL injection points exist throughout the codebase where input validation and filtering mechanisms are insufficient.
The attack chain is particularly severe because successful exploitation does not merely expose database contents. Instead, attackers can leverage the SQL injection vulnerabilities to achieve arbitrary file write capabilities on the underlying Linux server. This file write primitive can then be escalated to full Remote Code Execution, giving attackers complete control over the server.
Given that 1Panel is a server management control panel with extensive administrative capabilities, successful exploitation effectively grants attackers administrative access to the underlying Linux infrastructure and all resources managed through the panel.
Root Cause
The root cause stems from inadequate input sanitization and parameterization in multiple SQL query construction points within the 1Panel application. User-controlled input is concatenated directly into SQL statements without proper escaping, parameterized queries, or sufficient input validation. This allows attackers to inject malicious SQL syntax that alters the intended query logic.
Attack Vector
The vulnerability is exploitable over the network without requiring authentication or user interaction. Attackers can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable endpoints in the 1Panel web interface.
The attack progression typically follows this pattern:
- Attacker identifies vulnerable SQL injection endpoints in the 1Panel application
- Malicious SQL payloads are crafted to exploit the injection points
- Through techniques such as INTO OUTFILE or similar SQL file write functions, the attacker achieves arbitrary file write on the server
- A malicious web shell or executable is written to a web-accessible directory
- The attacker accesses the planted file to achieve remote code execution
For detailed technical information regarding this vulnerability, refer to the GitHub Security Advisory.
Detection Methods for CVE-2024-39907
Indicators of Compromise
- Unusual SQL syntax patterns in web server access logs targeting 1Panel endpoints
- Unexpected file creations in web-accessible directories or common webshell locations
- New or modified PHP, Python, or shell script files appearing on the server
- Anomalous outbound network connections from the 1Panel server
- Database query logs showing INTO OUTFILE, LOAD_FILE(), or similar file operation commands
Detection Strategies
- Monitor web application logs for SQL injection patterns including UNION SELECT, 'OR 1=1, comment sequences (--, /**/), and stacked queries
- Implement Web Application Firewall (WAF) rules specifically targeting SQL injection payloads
- Deploy file integrity monitoring (FIM) on critical directories to detect unauthorized file writes
- Enable database query logging and alert on suspicious query patterns involving file operations
- Configure intrusion detection systems (IDS) to flag common SQL injection attack signatures
Monitoring Recommendations
- Enable verbose logging for the 1Panel application and web server
- Set up real-time alerting for any file modifications in web directories
- Monitor for unusual process spawning or shell invocations from web server processes
- Track database user activity for anomalous file system operations
- Implement network traffic analysis to detect potential command and control communications
How to Mitigate CVE-2024-39907
Immediate Actions Required
- Upgrade 1Panel to version 1.10.12-tls or later immediately
- Conduct a security audit of 1Panel servers to identify any signs of compromise
- Review server file systems for unauthorized file creations or modifications
- Implement network segmentation to limit exposure of 1Panel management interfaces
- Enable additional logging and monitoring on affected systems during the remediation period
Patch Information
Fit2cloud has addressed these SQL injection vulnerabilities in 1Panel version 1.10.12-tls. Users should upgrade to this version or the latest available release as soon as possible. The patch information and changelog can be found in the GitHub Security Advisory.
Workarounds
- There are no known workarounds for this vulnerability according to the vendor advisory
- Restrict network access to 1Panel interfaces using firewall rules or VPN requirements
- Deploy a Web Application Firewall (WAF) with SQL injection detection rules as an interim protective measure
- Disable public internet access to 1Panel management interfaces until patching is complete
- Consider temporarily disabling 1Panel if upgrade is not immediately possible and the risk is deemed too high
# Restrict access to 1Panel using iptables (interim measure only)
# Replace 192.168.1.0/24 with your trusted network range
iptables -A INPUT -p tcp --dport 10086 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 10086 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

