CVE-2023-51331 in Cleaning Business Software
Summary
by MITRE • 02/20/2025
PHPJabbers Cleaning Business Software v1.0 is vulnerable to CSV Injection vulnerability which allows an attacker to execute remote code. The vulnerability exists due to insufficient input validation on Languages section Labels any parameters field in System Options that is used to construct CSV file.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 03/08/2026
The vulnerability identified as CVE-2023-51331 affects PHPJabbers Cleaning Business Software version 1.0 and represents a critical CSV injection flaw that can lead to remote code execution. This vulnerability stems from inadequate input validation mechanisms within the software's Languages section, specifically in the Labels any parameters field located within System Options. The flaw occurs when user-supplied data is directly incorporated into CSV file generation without proper sanitization, creating a pathway for malicious input to be interpreted as executable commands by the CSV processing applications.
The technical nature of this vulnerability aligns with CWE-1236, which addresses the weakness of insufficient input validation in contexts where data is used to construct structured data formats. When an attacker crafts malicious input containing CSV injection payloads such as leading equals signs followed by command execution strings, these inputs can be processed by spreadsheet applications like Microsoft Excel or Google Sheets. The vulnerability exploits the fact that spreadsheet applications interpret certain CSV content as formulas or commands, allowing attackers to execute arbitrary code on systems where the CSV files are opened. This behavior transforms what should be simple data export functionality into a potential attack vector for privilege escalation and system compromise.
The operational impact of this vulnerability is significant as it enables remote code execution without requiring authentication or complex attack chains. An attacker can leverage this flaw to gain unauthorized access to the affected system, potentially leading to complete system compromise, data exfiltration, or further lateral movement within a network. The vulnerability affects the software's ability to maintain data integrity and system security, particularly in business environments where cleaning service management software handles sensitive operational data. The attack surface expands when considering that CSV files are commonly shared and opened across different platforms, increasing the potential for exploitation.
Mitigation strategies should focus on implementing robust input validation and sanitization mechanisms within the software's data processing pipelines. The primary remediation involves escaping or encoding special characters in user-supplied input before incorporating them into CSV generation processes, particularly targeting the equals sign and other CSV injection indicators. Organizations should also implement proper parameter validation for all user inputs in the Languages section and System Options parameters. Additionally, security measures should include restricting file upload capabilities and implementing strict content type validation for CSV exports. The solution aligns with ATT&CK technique T1059.001 for command and scripting interpreter and T1566.001 for spearphishing attachment, emphasizing the need for both application-level defenses and user awareness training to prevent exploitation through malicious CSV files.