CVE-2024-6917 Overview
CVE-2024-6917 is a critical OS Command Injection vulnerability in Veribilim Software Veribase Order Management. This vulnerability allows attackers to execute arbitrary operating system commands on the underlying server through improper neutralization of special elements used in OS commands. The flaw exists in versions prior to v4.010.2 and can be exploited remotely without authentication.
OS Command Injection vulnerabilities occur when an application passes unsafe user-supplied data to a system shell. In this case, Veribase Order Management fails to properly sanitize input before incorporating it into OS commands, enabling attackers to inject malicious commands that execute with the privileges of the application.
Critical Impact
This vulnerability allows unauthenticated remote attackers to execute arbitrary OS commands on the server, potentially leading to complete system compromise, data exfiltration, and lateral movement within the network.
Affected Products
- Veribase Order Management versions before v4.010.2
Discovery Timeline
- 2024-08-12 - CVE-2024-6917 published to NVD
- 2024-08-13 - Last updated in NVD database
Technical Details for CVE-2024-6917
Vulnerability Analysis
The vulnerability stems from improper input validation and sanitization in Veribase Order Management. When the application processes user-controlled input, it fails to neutralize special characters and command separators that can be used to inject malicious OS commands. This allows attackers to append or chain arbitrary commands to legitimate application functions.
OS Command Injection (CWE-78) is particularly dangerous because it provides direct access to the underlying operating system. Successful exploitation can result in unauthorized command execution, file system access, installation of backdoors, credential theft, and use of the compromised system as a pivot point for further attacks.
The network-based attack vector with no authentication requirements significantly increases the risk, as any attacker with network access to the vulnerable application can attempt exploitation.
Root Cause
The root cause of CVE-2024-6917 is the failure to properly validate and sanitize user input before passing it to system shell commands. The application does not implement adequate input filtering to remove or escape special characters such as semicolons (;), pipes (|), ampersands (&), backticks (`), and other shell metacharacters that can be used to inject additional commands.
Attack Vector
The attack vector for this vulnerability is network-based, requiring no authentication and no user interaction. An attacker can craft malicious requests containing OS command injection payloads and send them to the vulnerable Veribase Order Management application. The injected commands are then executed on the server with the privileges of the web application process.
Common command injection techniques include:
- Using command separators such as ;, &&, or || to append malicious commands
- Utilizing backticks or $() syntax for command substitution
- Leveraging newline characters to inject additional commands
Successful exploitation grants the attacker the ability to execute any command the application user has permissions to run, potentially including reading sensitive files, modifying system configurations, and establishing persistent access.
Detection Methods for CVE-2024-6917
Indicators of Compromise
- Unusual outbound network connections from the application server to unknown external hosts
- Unexpected process spawning from the web application process (e.g., shell processes like cmd.exe, bash, sh)
- Suspicious file system modifications or creation of unauthorized files in web directories
- Log entries containing shell metacharacters or command injection patterns
Detection Strategies
- Implement web application firewall (WAF) rules to detect and block common command injection patterns
- Monitor application logs for suspicious input containing shell metacharacters such as ;, |, &, or backticks
- Deploy endpoint detection and response (EDR) solutions to identify anomalous process execution chains
- Utilize network intrusion detection systems to flag unusual traffic patterns from web servers
Monitoring Recommendations
- Enable verbose logging for the Veribase Order Management application and regularly review logs
- Monitor for unauthorized system calls and process creation events on the hosting server
- Implement file integrity monitoring on critical system directories
- Set up alerts for any unexpected outbound connections from the application server
How to Mitigate CVE-2024-6917
Immediate Actions Required
- Upgrade Veribase Order Management to version v4.010.2 or later immediately
- If immediate patching is not possible, restrict network access to the application using firewall rules
- Implement web application firewall rules to block command injection attempts
- Review application logs for signs of exploitation attempts
Patch Information
Veribilim Software has addressed this vulnerability in Veribase Order Management version v4.010.2. Organizations running affected versions should upgrade to the patched version as soon as possible. For more information, refer to the USOM Security Notification TR-24-1105.
Workarounds
- Implement strict input validation and sanitization on all user-controlled input
- Deploy a web application firewall (WAF) configured to detect and block command injection patterns
- Restrict network access to the Veribase Order Management application to trusted IP ranges only
- Run the application with minimal privileges to limit the impact of successful exploitation
- Consider network segmentation to isolate the application server from critical infrastructure
# Example: Restrict network access to the application using iptables
# Allow only trusted IP range to access the application port
iptables -A INPUT -p tcp --dport 80 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
# Enable logging for blocked connection attempts
iptables -A INPUT -p tcp --dport 80 -j LOG --log-prefix "BLOCKED_ORDER_MGMT: "
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

