CVE-2025-58581: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG Enterprise Analytics
When an error occurs in the application a full stacktrace is provided to the user. The stacktrace lists class and method names as well as other internal information. An attacker can thus obtain information about the technology used and the structure of the application.
AI Analysis
Technical Summary
CVE-2025-58581 is classified under CWE-200, indicating an exposure of sensitive information to unauthorized actors. The vulnerability arises because the SICK AG Enterprise Analytics application returns a full stack trace when an error occurs, including detailed internal information such as class names, method names, and other structural details of the application. This information disclosure can be leveraged by attackers to gain insights into the underlying technology stack, application logic, and potential weak points, thereby facilitating more sophisticated attacks such as code injection, privilege escalation, or exploitation of other vulnerabilities. The vulnerability is remotely exploitable over the network with low complexity and requires only low-level privileges, without any user interaction. The CVSS 3.1 base score is 4.3 (medium), reflecting the limited direct impact but acknowledging the value of the information disclosed. No patches or known exploits are currently available, indicating that organizations must rely on configuration changes or mitigations until an official fix is released.
Potential Impact
For European organizations, the exposure of internal application details can significantly increase the risk of targeted attacks against critical analytics infrastructure. SICK AG's Enterprise Analytics is likely used in industrial and manufacturing sectors, which are vital to many European economies. Attackers gaining insights into the application structure could craft tailored exploits to compromise confidentiality or disrupt operations. Although the vulnerability itself does not directly affect data integrity or availability, it lowers the barrier for attackers to identify and exploit more severe vulnerabilities. This is particularly concerning for industries with high regulatory requirements for data protection and operational continuity, such as automotive manufacturing, logistics, and energy sectors prevalent in countries like Germany, France, and Italy.
Mitigation Recommendations
Immediate mitigation should focus on disabling detailed error messages and stack trace outputs in production environments by configuring the application to return generic error messages to users. Implement strict access controls to limit network access to the Enterprise Analytics system, ensuring only authorized personnel can reach the application. Employ web application firewalls (WAFs) to detect and block suspicious requests that attempt to trigger errors or probe application internals. Monitor application logs for unusual error patterns that may indicate reconnaissance attempts. Engage with SICK AG to obtain patches or updates addressing this vulnerability as soon as they become available. Additionally, conduct regular security assessments and penetration testing to identify and remediate other potential weaknesses that could be exploited using the information disclosed.
Affected Countries
Germany, France, Italy, Netherlands, Belgium, Sweden
CVE-2025-58581: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG Enterprise Analytics
Description
When an error occurs in the application a full stacktrace is provided to the user. The stacktrace lists class and method names as well as other internal information. An attacker can thus obtain information about the technology used and the structure of the application.
AI-Powered Analysis
Technical Analysis
CVE-2025-58581 is classified under CWE-200, indicating an exposure of sensitive information to unauthorized actors. The vulnerability arises because the SICK AG Enterprise Analytics application returns a full stack trace when an error occurs, including detailed internal information such as class names, method names, and other structural details of the application. This information disclosure can be leveraged by attackers to gain insights into the underlying technology stack, application logic, and potential weak points, thereby facilitating more sophisticated attacks such as code injection, privilege escalation, or exploitation of other vulnerabilities. The vulnerability is remotely exploitable over the network with low complexity and requires only low-level privileges, without any user interaction. The CVSS 3.1 base score is 4.3 (medium), reflecting the limited direct impact but acknowledging the value of the information disclosed. No patches or known exploits are currently available, indicating that organizations must rely on configuration changes or mitigations until an official fix is released.
Potential Impact
For European organizations, the exposure of internal application details can significantly increase the risk of targeted attacks against critical analytics infrastructure. SICK AG's Enterprise Analytics is likely used in industrial and manufacturing sectors, which are vital to many European economies. Attackers gaining insights into the application structure could craft tailored exploits to compromise confidentiality or disrupt operations. Although the vulnerability itself does not directly affect data integrity or availability, it lowers the barrier for attackers to identify and exploit more severe vulnerabilities. This is particularly concerning for industries with high regulatory requirements for data protection and operational continuity, such as automotive manufacturing, logistics, and energy sectors prevalent in countries like Germany, France, and Italy.
Mitigation Recommendations
Immediate mitigation should focus on disabling detailed error messages and stack trace outputs in production environments by configuring the application to return generic error messages to users. Implement strict access controls to limit network access to the Enterprise Analytics system, ensuring only authorized personnel can reach the application. Employ web application firewalls (WAFs) to detect and block suspicious requests that attempt to trigger errors or probe application internals. Monitor application logs for unusual error patterns that may indicate reconnaissance attempts. Engage with SICK AG to obtain patches or updates addressing this vulnerability as soon as they become available. Additionally, conduct regular security assessments and penetration testing to identify and remediate other potential weaknesses that could be exploited using the information disclosed.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- SICK AG
- Date Reserved
- 2025-09-03T08:58:14.355Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68e369cfbd6176610b49ca9c
Added to database: 10/6/2025, 7:03:43 AM
Last enriched: 10/6/2025, 7:10:59 AM
Last updated: 10/7/2025, 12:50:38 PM
Views: 32
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