CVE-2025-58584: CWE-598 Use of GET Request Method With Sensitive Query Strings in SICK AG Baggage Analytics
In the HTTP request, the username and password are transferred directly in the URL as parameters. However, URLs can be stored in various systems such as server logs, browser histories or proxy servers. As a result, there is a high risk that this sensitive data will be disclosed unintentionally.
AI Analysis
Technical Summary
This vulnerability involves the transmission of sensitive authentication data (username and password) directly within the URL query string of HTTP GET requests in SICK AG's Baggage Analytics product. URLs containing these credentials may be stored in server logs, browser history, or proxy caches, increasing the risk of credential exposure. The CVSS v3.1 base score is 5.3 (medium severity), reflecting network attack vector, low attack complexity, no privileges required, no user interaction, and limited confidentiality impact. No patch or vendor advisory detailing remediation is currently available, and the product is not a cloud service, so remediation responsibility lies with the user/vendor.
Potential Impact
The primary impact is the potential unintended disclosure of sensitive authentication credentials due to their inclusion in URLs. This could lead to credential compromise if logs or caches are accessed by unauthorized parties. The vulnerability does not directly affect system integrity or availability and has no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should avoid transmitting sensitive credentials in URL query strings. Alternative methods such as POST requests with encrypted payloads or other secure authentication mechanisms should be used to protect sensitive data.
CVE-2025-58584: CWE-598 Use of GET Request Method With Sensitive Query Strings in SICK AG Baggage Analytics
Description
In the HTTP request, the username and password are transferred directly in the URL as parameters. However, URLs can be stored in various systems such as server logs, browser histories or proxy servers. As a result, there is a high risk that this sensitive data will be disclosed unintentionally.
CVSS v3.1
Score 5.3medium
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability involves the transmission of sensitive authentication data (username and password) directly within the URL query string of HTTP GET requests in SICK AG's Baggage Analytics product. URLs containing these credentials may be stored in server logs, browser history, or proxy caches, increasing the risk of credential exposure. The CVSS v3.1 base score is 5.3 (medium severity), reflecting network attack vector, low attack complexity, no privileges required, no user interaction, and limited confidentiality impact. No patch or vendor advisory detailing remediation is currently available, and the product is not a cloud service, so remediation responsibility lies with the user/vendor.
Potential Impact
The primary impact is the potential unintended disclosure of sensitive authentication credentials due to their inclusion in URLs. This could lead to credential compromise if logs or caches are accessed by unauthorized parties. The vulnerability does not directly affect system integrity or availability and has no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should avoid transmitting sensitive credentials in URL query strings. Alternative methods such as POST requests with encrypted payloads or other secure authentication mechanisms should be used to protect sensitive data.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- SICK AG
- Date Reserved
- 2025-09-03T08:58:14.356Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68e36cef0e76680ec164d65c
Added to database: 10/06/2025, 07:17:03 UTC
Last enriched: 05/14/2026, 02:29:21 UTC
Last updated: 09/10/2026, 19:36:51 UTC
Views: 179
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