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CVE-2025-49200: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in SICK AG SICK Field Analytics

Medium
VulnerabilityCVE-2025-49200cvecve-2025-49200cwe-200
Published: Thu Jun 12 2025 (06/12/2025, 14:27:57 UTC)
Source: CVE Database V5
Vendor/Project: SICK AG
Product: SICK Field Analytics

Description

The created backup files are unencrypted, making the application vulnerable for gathering sensitive information by downloading and decompressing the backup files.

AI-Powered Analysis

AILast updated: 06/12/2025, 14:53:47 UTC

Technical Analysis

CVE-2025-49200 is a vulnerability identified in all versions of SICK AG's product 'SICK Field Analytics.' The core issue stems from the application's handling of backup files, which are created and stored without encryption. This lack of encryption means that sensitive information contained within these backups can be accessed by unauthorized actors if they manage to download and decompress these files. The vulnerability is classified under CWE-200, indicating an exposure of sensitive information to unauthorized parties. Technically, the vulnerability allows an attacker with network access and low privileges (as indicated by the CVSS vector AV:N/AC:L/PR:L/UI:N) to remotely retrieve backup files without requiring user interaction. The vulnerability impacts confidentiality significantly (C:H), but does not affect integrity or availability (I:N/A:N). The scope is unchanged (S:U), meaning the impact is limited to the vulnerable component itself. Although no known exploits are currently reported in the wild, the medium CVSS score of 6.5 reflects a moderate risk primarily due to the ease of exploitation (network accessible, low complexity) and the high confidentiality impact. The vulnerability is particularly concerning because backup files often contain comprehensive datasets, including operational analytics, potentially sensitive configuration data, or personally identifiable information (PII), which if exposed, could lead to privacy violations, competitive intelligence leaks, or compliance breaches.

Potential Impact

For European organizations using SICK Field Analytics, this vulnerability poses a tangible risk of sensitive data leakage. Given that SICK AG is a German-based company specializing in industrial sensors and analytics, its products are widely used in manufacturing, logistics, and automation sectors across Europe. Exposure of backup data could lead to unauthorized disclosure of operational metrics, production analytics, or even personal data, potentially violating GDPR and other data protection regulations. Industrial organizations could suffer reputational damage, regulatory fines, and loss of competitive advantage. Furthermore, attackers could leverage the exposed information for further targeted attacks or industrial espionage. The risk is heightened in sectors with critical infrastructure or high-value intellectual property. However, since exploitation requires at least low-level privileges and network access, the threat is somewhat mitigated by existing access controls but remains significant if internal threat actors or compromised credentials are involved.

Mitigation Recommendations

To mitigate this vulnerability, organizations should implement the following specific measures: 1) Immediately restrict network access to the backup file locations to trusted administrators only, using network segmentation and firewall rules to limit exposure. 2) Enforce strict access controls and monitoring on backup file directories to detect unauthorized access attempts. 3) Where possible, manually encrypt backup files post-creation using strong encryption algorithms (e.g., AES-256) until an official patch or update from SICK AG is available. 4) Implement robust credential management and multi-factor authentication to reduce the risk of privilege misuse. 5) Regularly audit backup storage locations and logs for anomalous download or decompression activities. 6) Engage with SICK AG to obtain updates or patches addressing this vulnerability and plan for timely deployment once available. 7) Consider deploying intrusion detection systems (IDS) or data loss prevention (DLP) tools to monitor for unusual data exfiltration patterns related to backup files. These steps go beyond generic advice by focusing on access restriction, encryption at rest, and active monitoring tailored to the backup file exposure scenario.

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Technical Details

Data Version
5.1
Assigner Short Name
SICK AG
Date Reserved
2025-06-03T05:58:15.617Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 684ae666358c65714e6a8a63

Added to database: 6/12/2025, 2:38:30 PM

Last enriched: 6/12/2025, 2:53:47 PM

Last updated: 8/15/2025, 12:12:54 PM

Views: 27

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