CVE-2025-49184: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG Field Analytics
A remote unauthorized attacker may gather sensitive information of the application, due to missing authorization of configuration settings of the product.
AI Analysis
Technical Summary
CVE-2025-49184 is a vulnerability classified under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor) affecting all versions of SICK AG's Field Analytics product. The vulnerability arises from missing authorization checks on configuration settings, allowing remote attackers to gather sensitive information without any authentication or user interaction. The CVSS 3.1 base score of 7.5 reflects a high severity due to the ease of exploitation (network vector, low attack complexity) and the high confidentiality impact, while integrity and availability remain unaffected. The exposed sensitive information could include configuration details that may reveal system architecture, network topology, or credentials, potentially enabling further targeted attacks. No patches or known exploits are currently available, indicating a window of exposure. The vulnerability affects a product widely used in industrial environments for data analytics and monitoring, which could lead to significant operational risks if exploited. The lack of authentication and user interaction requirements increases the attack surface, making it critical to address promptly.
Potential Impact
For European organizations, particularly those in manufacturing, industrial automation, and logistics sectors that rely on SICK AG Field Analytics, this vulnerability poses a significant risk of sensitive data leakage. Exposure of configuration settings can reveal critical infrastructure details, potentially facilitating lateral movement, reconnaissance, or targeted attacks by threat actors. This can undermine operational security and may lead to compliance issues under regulations such as GDPR if personal or sensitive data is indirectly exposed. The impact is heightened in industries where industrial control systems are integrated with IT networks, increasing the risk of cascading effects. Although the vulnerability does not directly affect system integrity or availability, the confidentiality breach can be a precursor to more severe attacks. European organizations with extensive use of SICK AG products, especially in Germany, France, Italy, and other industrial hubs, are at elevated risk due to the product's market penetration and strategic importance in these regions.
Mitigation Recommendations
To mitigate this vulnerability, organizations should immediately implement network segmentation to isolate Field Analytics systems from untrusted networks and restrict access to trusted administrators only. Deploy strict access control mechanisms, such as role-based access control (RBAC), to enforce authorization on configuration settings. Monitor network traffic and logs for unusual access patterns or unauthorized attempts to retrieve configuration data. Where possible, apply virtual patching via web application firewalls (WAFs) to block unauthorized requests targeting configuration endpoints. Engage with SICK AG for official patches or updates and prioritize their deployment once available. Conduct regular security assessments and penetration tests focusing on Field Analytics deployments to identify and remediate similar authorization weaknesses. Additionally, educate operational technology (OT) and IT teams about this vulnerability to ensure rapid detection and response.
Affected Countries
Germany, France, Italy, Netherlands, Belgium, Poland, Czech Republic
CVE-2025-49184: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG Field Analytics
Description
A remote unauthorized attacker may gather sensitive information of the application, due to missing authorization of configuration settings of the product.
AI-Powered Analysis
Technical Analysis
CVE-2025-49184 is a vulnerability classified under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor) affecting all versions of SICK AG's Field Analytics product. The vulnerability arises from missing authorization checks on configuration settings, allowing remote attackers to gather sensitive information without any authentication or user interaction. The CVSS 3.1 base score of 7.5 reflects a high severity due to the ease of exploitation (network vector, low attack complexity) and the high confidentiality impact, while integrity and availability remain unaffected. The exposed sensitive information could include configuration details that may reveal system architecture, network topology, or credentials, potentially enabling further targeted attacks. No patches or known exploits are currently available, indicating a window of exposure. The vulnerability affects a product widely used in industrial environments for data analytics and monitoring, which could lead to significant operational risks if exploited. The lack of authentication and user interaction requirements increases the attack surface, making it critical to address promptly.
Potential Impact
For European organizations, particularly those in manufacturing, industrial automation, and logistics sectors that rely on SICK AG Field Analytics, this vulnerability poses a significant risk of sensitive data leakage. Exposure of configuration settings can reveal critical infrastructure details, potentially facilitating lateral movement, reconnaissance, or targeted attacks by threat actors. This can undermine operational security and may lead to compliance issues under regulations such as GDPR if personal or sensitive data is indirectly exposed. The impact is heightened in industries where industrial control systems are integrated with IT networks, increasing the risk of cascading effects. Although the vulnerability does not directly affect system integrity or availability, the confidentiality breach can be a precursor to more severe attacks. European organizations with extensive use of SICK AG products, especially in Germany, France, Italy, and other industrial hubs, are at elevated risk due to the product's market penetration and strategic importance in these regions.
Mitigation Recommendations
To mitigate this vulnerability, organizations should immediately implement network segmentation to isolate Field Analytics systems from untrusted networks and restrict access to trusted administrators only. Deploy strict access control mechanisms, such as role-based access control (RBAC), to enforce authorization on configuration settings. Monitor network traffic and logs for unusual access patterns or unauthorized attempts to retrieve configuration data. Where possible, apply virtual patching via web application firewalls (WAFs) to block unauthorized requests targeting configuration endpoints. Engage with SICK AG for official patches or updates and prioritize their deployment once available. Conduct regular security assessments and penetration tests focusing on Field Analytics deployments to identify and remediate similar authorization weaknesses. Additionally, educate operational technology (OT) and IT teams about this vulnerability to ensure rapid detection and response.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- SICK AG
- Date Reserved
- 2025-06-03T05:55:52.772Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 684ad856358c65714e6a7e0b
Added to database: 6/12/2025, 1:38:30 PM
Last enriched: 10/6/2025, 7:32:58 AM
Last updated: 11/22/2025, 9:01:52 PM
Views: 34
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