CVE-2026-33614: CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MB connect line mbCONNECT24
CVE-2026-33614 is a high-severity SQL Injection vulnerability affecting the mbCONNECT24 product from MB connect line. It allows unauthenticated remote attackers to exploit improper neutralization of special elements in the getinfo endpoint's SQL SELECT command. Exploitation requires no authentication or user interaction, enabling attackers to access sensitive data, resulting in a total loss of confidentiality. The vulnerability does not impact integrity or availability directly but poses a significant risk to data privacy. No known exploits are currently reported in the wild. Organizations using mbCONNECT24 should prioritize patching once available and implement input validation and network segmentation as interim mitigations. Countries with significant industrial automation and IoT deployments using mbCONNECT24 are at higher risk. The CVSS score is 7. 5 (high), reflecting the ease of exploitation and confidentiality impact. Defenders must monitor for suspicious queries and restrict access to the vulnerable endpoint to mitigate risk.
AI Analysis
Technical Summary
CVE-2026-33614 is an SQL Injection vulnerability classified under CWE-89 that affects the mbCONNECT24 product developed by MB connect line. The vulnerability resides in the getinfo endpoint, where improper neutralization of special characters in a SQL SELECT command allows an unauthenticated remote attacker to inject malicious SQL code. This flaw enables attackers to bypass authentication and extract sensitive information from the backend database, leading to a total loss of confidentiality. The vulnerability requires no user interaction and can be exploited remotely over the network, making it highly accessible to attackers. The affected version is listed as 0.0.0, indicating either an initial or placeholder version, but the exact impacted releases should be confirmed by vendors. The CVSS v3.1 base score is 7.5, with vector AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N, highlighting that the attack vector is network-based with low attack complexity, no privileges or user interaction needed, and a significant confidentiality impact without affecting integrity or availability. No patches are currently linked, and no known exploits have been reported in the wild. The vulnerability's root cause is the failure to properly sanitize or parameterize SQL queries, a common issue in web applications and IoT platforms. This flaw could be leveraged to extract sensitive operational or user data, potentially exposing critical infrastructure information.
Potential Impact
The primary impact of CVE-2026-33614 is the total loss of confidentiality of data stored or processed by mbCONNECT24 systems. Organizations relying on mbCONNECT24 for industrial automation, remote monitoring, or IoT device management could have sensitive operational data, credentials, or configuration details exposed to attackers. This exposure could lead to further targeted attacks, espionage, or disruption of industrial processes if attackers gain insights into system configurations. Although the vulnerability does not directly affect data integrity or system availability, the confidentiality breach alone can have severe consequences, including regulatory penalties, loss of customer trust, and operational risks. The ease of exploitation without authentication or user interaction increases the likelihood of automated scanning and exploitation attempts. Industries such as manufacturing, energy, and critical infrastructure that use mbCONNECT24 are particularly vulnerable, potentially impacting global supply chains and essential services.
Mitigation Recommendations
1. Immediate mitigation should include restricting network access to the getinfo endpoint by implementing firewall rules or network segmentation to limit exposure to trusted IP addresses only. 2. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the getinfo endpoint. 3. Implement input validation and sanitization on all user-supplied data, especially parameters used in SQL queries, using parameterized queries or prepared statements to prevent injection. 4. Monitor logs and network traffic for unusual or suspicious SQL query patterns or repeated access attempts to the vulnerable endpoint. 5. Coordinate with MB connect line for official patches or updates addressing this vulnerability and apply them promptly once available. 6. Conduct security assessments and penetration testing focused on SQL injection vectors in mbCONNECT24 deployments. 7. Educate operational technology and IT teams about the risks and signs of exploitation to improve detection and response capabilities. 8. Consider deploying intrusion detection systems (IDS) tuned to detect SQL injection attempts targeting industrial IoT platforms.
Affected Countries
Germany, United States, China, Japan, South Korea, France, Italy, United Kingdom, Canada, Netherlands
CVE-2026-33614: CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MB connect line mbCONNECT24
Description
CVE-2026-33614 is a high-severity SQL Injection vulnerability affecting the mbCONNECT24 product from MB connect line. It allows unauthenticated remote attackers to exploit improper neutralization of special elements in the getinfo endpoint's SQL SELECT command. Exploitation requires no authentication or user interaction, enabling attackers to access sensitive data, resulting in a total loss of confidentiality. The vulnerability does not impact integrity or availability directly but poses a significant risk to data privacy. No known exploits are currently reported in the wild. Organizations using mbCONNECT24 should prioritize patching once available and implement input validation and network segmentation as interim mitigations. Countries with significant industrial automation and IoT deployments using mbCONNECT24 are at higher risk. The CVSS score is 7. 5 (high), reflecting the ease of exploitation and confidentiality impact. Defenders must monitor for suspicious queries and restrict access to the vulnerable endpoint to mitigate risk.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-33614 is an SQL Injection vulnerability classified under CWE-89 that affects the mbCONNECT24 product developed by MB connect line. The vulnerability resides in the getinfo endpoint, where improper neutralization of special characters in a SQL SELECT command allows an unauthenticated remote attacker to inject malicious SQL code. This flaw enables attackers to bypass authentication and extract sensitive information from the backend database, leading to a total loss of confidentiality. The vulnerability requires no user interaction and can be exploited remotely over the network, making it highly accessible to attackers. The affected version is listed as 0.0.0, indicating either an initial or placeholder version, but the exact impacted releases should be confirmed by vendors. The CVSS v3.1 base score is 7.5, with vector AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N, highlighting that the attack vector is network-based with low attack complexity, no privileges or user interaction needed, and a significant confidentiality impact without affecting integrity or availability. No patches are currently linked, and no known exploits have been reported in the wild. The vulnerability's root cause is the failure to properly sanitize or parameterize SQL queries, a common issue in web applications and IoT platforms. This flaw could be leveraged to extract sensitive operational or user data, potentially exposing critical infrastructure information.
Potential Impact
The primary impact of CVE-2026-33614 is the total loss of confidentiality of data stored or processed by mbCONNECT24 systems. Organizations relying on mbCONNECT24 for industrial automation, remote monitoring, or IoT device management could have sensitive operational data, credentials, or configuration details exposed to attackers. This exposure could lead to further targeted attacks, espionage, or disruption of industrial processes if attackers gain insights into system configurations. Although the vulnerability does not directly affect data integrity or system availability, the confidentiality breach alone can have severe consequences, including regulatory penalties, loss of customer trust, and operational risks. The ease of exploitation without authentication or user interaction increases the likelihood of automated scanning and exploitation attempts. Industries such as manufacturing, energy, and critical infrastructure that use mbCONNECT24 are particularly vulnerable, potentially impacting global supply chains and essential services.
Mitigation Recommendations
1. Immediate mitigation should include restricting network access to the getinfo endpoint by implementing firewall rules or network segmentation to limit exposure to trusted IP addresses only. 2. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the getinfo endpoint. 3. Implement input validation and sanitization on all user-supplied data, especially parameters used in SQL queries, using parameterized queries or prepared statements to prevent injection. 4. Monitor logs and network traffic for unusual or suspicious SQL query patterns or repeated access attempts to the vulnerable endpoint. 5. Coordinate with MB connect line for official patches or updates addressing this vulnerability and apply them promptly once available. 6. Conduct security assessments and penetration testing focused on SQL injection vectors in mbCONNECT24 deployments. 7. Educate operational technology and IT teams about the risks and signs of exploitation to improve detection and response capabilities. 8. Consider deploying intrusion detection systems (IDS) tuned to detect SQL injection attempts targeting industrial IoT platforms.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- CERTVDE
- Date Reserved
- 2026-03-23T13:15:49.381Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69ce74d2e6bfc5ba1ddd16d0
Added to database: 4/2/2026, 1:53:22 PM
Last enriched: 4/2/2026, 2:08:27 PM
Last updated: 4/2/2026, 4:33:52 PM
Views: 5
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