CVE-2023-6432: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in BigProf Online Inventory Manager
A vulnerability has been discovered in BigProf Online Invoicing System 2.6, which does not sufficiently encode user-controlled input, resulting in persistent XSS through /inventory/items_view.php, in the FirstRecord parameter. Exploitation of this vulnerability could allow an attacking user to store dangerous JavaScript payloads on the system that will be triggered when the page loads.
AI Analysis
Technical Summary
CVE-2023-6432 is a persistent Cross-Site Scripting (XSS) vulnerability identified in BigProf Online Inventory Manager version 3.2. The vulnerability arises due to improper neutralization of user-supplied input in the web application, specifically in the /inventory/items_view.php endpoint via the FirstRecord parameter. This parameter does not sufficiently encode or sanitize input, allowing an attacker to inject malicious JavaScript code that is stored persistently on the server. When legitimate users access the affected page, the malicious script executes in their browsers within the context of the vulnerable application. This can lead to a range of attacks including session hijacking, credential theft, unauthorized actions on behalf of the user, or distribution of malware. The CVSS v3.1 score of 6.3 (medium severity) reflects that the vulnerability can be exploited remotely without authentication, requires low attack complexity, but does require user interaction (the victim must load the infected page). The impact affects confidentiality, integrity, and availability to a limited extent, as the attacker can execute arbitrary scripts but cannot directly compromise the server or escalate privileges without further vulnerabilities. No known public exploits have been reported yet, and no patches are currently linked, indicating that organizations using this software should prioritize mitigation and monitoring. The vulnerability is classified under CWE-79, a common and well-understood web application security flaw related to improper input validation and output encoding during web page generation.
Potential Impact
For European organizations using BigProf Online Inventory Manager 3.2, this vulnerability poses a significant risk to the security of their inventory management systems. Exploitation could lead to unauthorized access to sensitive inventory data, manipulation of records, or theft of session tokens and credentials, potentially enabling further compromise of internal networks. Persistent XSS can also be used to deliver phishing attacks or malware to employees, increasing the risk of broader organizational compromise. Given that inventory management systems often integrate with financial and supply chain processes, disruption or data leakage could impact operational continuity and compliance with data protection regulations such as GDPR. The medium severity rating suggests that while the vulnerability is not critical, it is sufficiently serious to warrant immediate attention, especially in environments where sensitive or regulated data is processed. The lack of authentication requirement for exploitation increases the attack surface, as external attackers can attempt to exploit the vulnerability remotely. European organizations should be aware that attackers may leverage this flaw to target supply chain and inventory data, which are strategic assets in many industries.
Mitigation Recommendations
To mitigate this vulnerability, organizations should implement the following specific measures: 1) Apply any available vendor patches or updates as soon as they are released; if no patch is currently available, contact BigProf support for guidance or timelines. 2) Implement Web Application Firewall (WAF) rules to detect and block malicious payloads targeting the FirstRecord parameter, focusing on common XSS attack patterns and suspicious script tags. 3) Conduct input validation and output encoding on the server side to ensure that all user-supplied data is properly sanitized before rendering in HTML contexts, ideally using established libraries or frameworks that handle encoding securely. 4) Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts within the application domain, reducing the impact of potential XSS payloads. 5) Educate users and administrators about the risks of XSS and encourage vigilance for suspicious behavior or unexpected page content. 6) Monitor application logs and network traffic for signs of exploitation attempts, including unusual parameter values or repeated access to the vulnerable endpoint. 7) Consider isolating or restricting access to the inventory management system to trusted networks or VPNs to reduce exposure to external attackers. These targeted steps go beyond generic advice by focusing on the specific vulnerable parameter and the operational context of the affected product.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Poland, Sweden, Austria
CVE-2023-6432: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in BigProf Online Inventory Manager
Description
A vulnerability has been discovered in BigProf Online Invoicing System 2.6, which does not sufficiently encode user-controlled input, resulting in persistent XSS through /inventory/items_view.php, in the FirstRecord parameter. Exploitation of this vulnerability could allow an attacking user to store dangerous JavaScript payloads on the system that will be triggered when the page loads.
AI-Powered Analysis
Technical Analysis
CVE-2023-6432 is a persistent Cross-Site Scripting (XSS) vulnerability identified in BigProf Online Inventory Manager version 3.2. The vulnerability arises due to improper neutralization of user-supplied input in the web application, specifically in the /inventory/items_view.php endpoint via the FirstRecord parameter. This parameter does not sufficiently encode or sanitize input, allowing an attacker to inject malicious JavaScript code that is stored persistently on the server. When legitimate users access the affected page, the malicious script executes in their browsers within the context of the vulnerable application. This can lead to a range of attacks including session hijacking, credential theft, unauthorized actions on behalf of the user, or distribution of malware. The CVSS v3.1 score of 6.3 (medium severity) reflects that the vulnerability can be exploited remotely without authentication, requires low attack complexity, but does require user interaction (the victim must load the infected page). The impact affects confidentiality, integrity, and availability to a limited extent, as the attacker can execute arbitrary scripts but cannot directly compromise the server or escalate privileges without further vulnerabilities. No known public exploits have been reported yet, and no patches are currently linked, indicating that organizations using this software should prioritize mitigation and monitoring. The vulnerability is classified under CWE-79, a common and well-understood web application security flaw related to improper input validation and output encoding during web page generation.
Potential Impact
For European organizations using BigProf Online Inventory Manager 3.2, this vulnerability poses a significant risk to the security of their inventory management systems. Exploitation could lead to unauthorized access to sensitive inventory data, manipulation of records, or theft of session tokens and credentials, potentially enabling further compromise of internal networks. Persistent XSS can also be used to deliver phishing attacks or malware to employees, increasing the risk of broader organizational compromise. Given that inventory management systems often integrate with financial and supply chain processes, disruption or data leakage could impact operational continuity and compliance with data protection regulations such as GDPR. The medium severity rating suggests that while the vulnerability is not critical, it is sufficiently serious to warrant immediate attention, especially in environments where sensitive or regulated data is processed. The lack of authentication requirement for exploitation increases the attack surface, as external attackers can attempt to exploit the vulnerability remotely. European organizations should be aware that attackers may leverage this flaw to target supply chain and inventory data, which are strategic assets in many industries.
Mitigation Recommendations
To mitigate this vulnerability, organizations should implement the following specific measures: 1) Apply any available vendor patches or updates as soon as they are released; if no patch is currently available, contact BigProf support for guidance or timelines. 2) Implement Web Application Firewall (WAF) rules to detect and block malicious payloads targeting the FirstRecord parameter, focusing on common XSS attack patterns and suspicious script tags. 3) Conduct input validation and output encoding on the server side to ensure that all user-supplied data is properly sanitized before rendering in HTML contexts, ideally using established libraries or frameworks that handle encoding securely. 4) Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts within the application domain, reducing the impact of potential XSS payloads. 5) Educate users and administrators about the risks of XSS and encourage vigilance for suspicious behavior or unexpected page content. 6) Monitor application logs and network traffic for signs of exploitation attempts, including unusual parameter values or repeated access to the vulnerable endpoint. 7) Consider isolating or restricting access to the inventory management system to trusted networks or VPNs to reduce exposure to external attackers. These targeted steps go beyond generic advice by focusing on the specific vulnerable parameter and the operational context of the affected product.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- INCIBE
- Date Reserved
- 2023-11-30T10:46:05.642Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682f2c0b0acd01a24925c22f
Added to database: 5/22/2025, 1:52:11 PM
Last enriched: 7/8/2025, 11:24:36 AM
Last updated: 7/27/2025, 2:02:44 PM
Views: 12
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