CVE-2025-49184: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG SICK 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 high-severity vulnerability affecting all versions of SICK AG's SICK Field Analytics product. The vulnerability is categorized under CWE-200, which involves the exposure of sensitive information to unauthorized actors. Specifically, this flaw arises due to missing authorization controls on configuration settings within the application. An attacker can remotely access these configuration settings without any authentication or user interaction, thereby gaining access to sensitive information that the application manages or stores. The vulnerability has a CVSS 3.1 base score of 7.5, reflecting its high impact on confidentiality (high), with no impact on integrity or availability. The attack vector is network-based (AV:N), requiring no privileges (PR:N) and no user interaction (UI:N), making exploitation relatively straightforward. Although no known exploits are currently reported in the wild, the lack of authentication and the exposure of sensitive configuration data pose a significant risk, especially in industrial environments where SICK Field Analytics is deployed for monitoring and analyzing sensor data. The vulnerability could potentially allow attackers to gather information that might facilitate further attacks or industrial espionage.
Potential Impact
For European organizations, particularly those in manufacturing, logistics, and industrial automation sectors that rely on SICK Field Analytics for sensor data analysis and operational insights, this vulnerability could lead to unauthorized disclosure of sensitive configuration data. Such information exposure may include network configurations, operational parameters, or other critical settings that could be leveraged to map the industrial environment or identify weaknesses. This compromises confidentiality and may indirectly facilitate more severe attacks such as sabotage or intellectual property theft. Given the critical role of industrial analytics in maintaining operational efficiency and safety, the exposure could undermine trust in the integrity of industrial processes. Additionally, regulatory frameworks in Europe, such as GDPR, impose strict requirements on protecting sensitive data, and failure to secure these systems could result in compliance violations and financial penalties.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should immediately implement network-level access controls to restrict exposure of SICK Field Analytics interfaces to trusted internal networks only. Deploying firewall rules or VPNs can limit remote access. Since no patch is currently available, organizations should conduct thorough audits of their SICK Field Analytics deployments to identify any publicly accessible endpoints. Additionally, implementing strict segmentation between industrial control systems and corporate networks can reduce the attack surface. Monitoring network traffic for unusual access patterns to the analytics platform can help detect potential exploitation attempts. Organizations should also engage with SICK AG to obtain updates on patches or security advisories and plan for timely application once available. Finally, reviewing and hardening configuration management processes to minimize sensitive data exposure is recommended.
Affected Countries
Germany, France, Italy, Netherlands, Belgium, Poland, Czech Republic, Sweden
CVE-2025-49184: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG SICK 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 high-severity vulnerability affecting all versions of SICK AG's SICK Field Analytics product. The vulnerability is categorized under CWE-200, which involves the exposure of sensitive information to unauthorized actors. Specifically, this flaw arises due to missing authorization controls on configuration settings within the application. An attacker can remotely access these configuration settings without any authentication or user interaction, thereby gaining access to sensitive information that the application manages or stores. The vulnerability has a CVSS 3.1 base score of 7.5, reflecting its high impact on confidentiality (high), with no impact on integrity or availability. The attack vector is network-based (AV:N), requiring no privileges (PR:N) and no user interaction (UI:N), making exploitation relatively straightforward. Although no known exploits are currently reported in the wild, the lack of authentication and the exposure of sensitive configuration data pose a significant risk, especially in industrial environments where SICK Field Analytics is deployed for monitoring and analyzing sensor data. The vulnerability could potentially allow attackers to gather information that might facilitate further attacks or industrial espionage.
Potential Impact
For European organizations, particularly those in manufacturing, logistics, and industrial automation sectors that rely on SICK Field Analytics for sensor data analysis and operational insights, this vulnerability could lead to unauthorized disclosure of sensitive configuration data. Such information exposure may include network configurations, operational parameters, or other critical settings that could be leveraged to map the industrial environment or identify weaknesses. This compromises confidentiality and may indirectly facilitate more severe attacks such as sabotage or intellectual property theft. Given the critical role of industrial analytics in maintaining operational efficiency and safety, the exposure could undermine trust in the integrity of industrial processes. Additionally, regulatory frameworks in Europe, such as GDPR, impose strict requirements on protecting sensitive data, and failure to secure these systems could result in compliance violations and financial penalties.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should immediately implement network-level access controls to restrict exposure of SICK Field Analytics interfaces to trusted internal networks only. Deploying firewall rules or VPNs can limit remote access. Since no patch is currently available, organizations should conduct thorough audits of their SICK Field Analytics deployments to identify any publicly accessible endpoints. Additionally, implementing strict segmentation between industrial control systems and corporate networks can reduce the attack surface. Monitoring network traffic for unusual access patterns to the analytics platform can help detect potential exploitation attempts. Organizations should also engage with SICK AG to obtain updates on patches or security advisories and plan for timely application once available. Finally, reviewing and hardening configuration management processes to minimize sensitive data exposure is recommended.
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: 6/12/2025, 1:53:27 PM
Last updated: 8/14/2025, 8:29:06 AM
Views: 12
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