CVE-2024-24329 Overview
CVE-2024-24329 is a critical command injection vulnerability discovered in the TOTOLINK A3300R wireless router firmware. The vulnerability exists in the setPortForwardRules function, where the enable parameter is improperly handled, allowing attackers to inject and execute arbitrary operating system commands on the affected device. This firmware vulnerability in TOTOLINK's IoT device poses significant risk to network infrastructure security.
Critical Impact
Unauthenticated remote attackers can execute arbitrary commands with root privileges on the router, potentially leading to complete device takeover, network traffic interception, and lateral movement within the network.
Affected Products
- TOTOLINK A3300R Firmware version 17.0.0cu.557_B20221024
- TOTOLINK A3300R Hardware (all hardware revisions running vulnerable firmware)
Discovery Timeline
- 2024-01-30 - CVE-2024-24329 published to NVD
- 2025-06-12 - Last updated in NVD database
Technical Details for CVE-2024-24329
Vulnerability Analysis
This command injection vulnerability (CWE-78) affects the web management interface of the TOTOLINK A3300R router. The setPortForwardRules function fails to properly sanitize the enable parameter before passing it to system shell commands. When user-controlled input reaches the command execution context without adequate validation, attackers can append malicious shell commands using command separators such as semicolons, backticks, or pipe characters.
The vulnerability is accessible via the network without requiring authentication or user interaction, making it particularly dangerous for devices exposed to the internet or accessible within compromised networks. Successful exploitation grants the attacker root-level access to the underlying Linux-based operating system.
Root Cause
The root cause of this vulnerability is improper input validation in the firmware's web interface handler. The setPortForwardRules function directly incorporates the enable parameter value into a system command without sanitization or parameterized execution. This classic command injection pattern occurs when developers use functions like system(), popen(), or similar shell execution methods with concatenated user input instead of using safer alternatives or proper input filtering.
Attack Vector
The attack vector for CVE-2024-24329 is network-based, allowing remote exploitation. An attacker can craft a malicious HTTP request to the router's web management interface containing shell metacharacters in the enable parameter of the setPortForwardRules function. The injected commands execute in the context of the web server process, which typically runs with root privileges on embedded router devices.
The exploitation flow typically involves:
- Identifying a vulnerable TOTOLINK A3300R device on the network
- Crafting an HTTP request to the setPortForwardRules endpoint with a malicious enable parameter value
- Injecting shell commands that execute with root privileges on the device
For detailed technical analysis and proof-of-concept information, refer to the GitHub IoT Vulnerability Document.
Detection Methods for CVE-2024-24329
Indicators of Compromise
- Unexpected outbound connections from router to unknown external IP addresses
- Unusual processes running on the router that are not part of standard firmware operations
- Modified configuration files or the presence of unauthorized scripts in the router's filesystem
- Evidence of reverse shell connections or unauthorized remote access sessions
Detection Strategies
- Monitor HTTP requests to the router's management interface for suspicious characters in parameters, particularly semicolons, backticks, pipe characters, and command sequences
- Implement network-based intrusion detection rules to identify command injection patterns targeting TOTOLINK devices
- Review router access logs for unusual administrative activity or requests to the setPortForwardRules endpoint
- Deploy network traffic analysis to detect anomalous communication patterns from IoT devices
Monitoring Recommendations
- Establish baseline behavior monitoring for router traffic patterns to identify deviations
- Configure alerts for any unexpected changes to router configuration or firmware
- Monitor for DNS queries or network connections to known malicious infrastructure originating from router IP addresses
- Implement logging on network segments containing vulnerable IoT devices for forensic analysis
How to Mitigate CVE-2024-24329
Immediate Actions Required
- Restrict access to the router's web management interface to trusted internal networks only
- Disable remote management features if not strictly required
- Implement network segmentation to isolate vulnerable IoT devices from critical systems
- Consider replacing the vulnerable device if no firmware update is available from the vendor
- Monitor network traffic for signs of exploitation attempts
Patch Information
As of the last CVE update, TOTOLINK has not released a publicly documented firmware patch for this vulnerability. Users should check the TOTOLINK support website regularly for firmware updates addressing CVE-2024-24329. Until a patch is available, implementing the recommended workarounds is essential to reduce risk.
Workarounds
- Disable the web management interface entirely if router configuration does not need to be changed
- Place the router behind a firewall that blocks external access to management ports (typically HTTP/HTTPS on ports 80, 443, or custom ports)
- Use access control lists (ACLs) on the network to restrict which IP addresses can communicate with the router's management interface
- Enable MAC address filtering for management interface access where supported
# Example firewall rule to restrict management access (adjust for your environment)
# Block external access to router management on port 80
iptables -A FORWARD -d <router_ip> -p tcp --dport 80 -j DROP
iptables -A FORWARD -d <router_ip> -p tcp --dport 443 -j DROP
# Allow only trusted management subnet
iptables -A FORWARD -s 192.168.1.0/24 -d <router_ip> -p tcp --dport 80 -j ACCEPT
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

