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CVE-2025-58584: CWE-598 Use of GET Request Method With Sensitive Query Strings in SICK AG Baggage Analytics

0
Medium
VulnerabilityCVE-2025-58584cvecve-2025-58584cwe-598
Published: Mon Oct 06 2025 (10/06/2025, 07:01:04 UTC)
Source: CVE Database V5
Vendor/Project: SICK AG
Product: 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.

AI-Powered Analysis

AILast updated: 10/06/2025, 07:17:46 UTC

Technical Analysis

CVE-2025-58584 identifies a vulnerability in the SICK AG Baggage Analytics system where sensitive authentication credentials—specifically usernames and passwords—are transmitted in HTTP GET request URLs as query parameters. This approach violates secure design principles because URLs are commonly logged by web servers, stored in browser histories, and cached by proxy servers, creating multiple avenues for unintended exposure of sensitive data. The vulnerability affects all versions of the Baggage Analytics product, indicating a systemic design flaw rather than a version-specific bug. The CVSS 3.1 base score is 5.3 (medium severity), reflecting that the attack vector is network-based with low attack complexity, requires no privileges or user interaction, and impacts confidentiality only, without affecting integrity or availability. The CWE-598 classification highlights the use of GET requests with sensitive query strings as the root cause. Although no known exploits have been reported in the wild, the risk remains significant because intercepted or logged URLs can be used by attackers to obtain valid credentials, potentially enabling unauthorized access to baggage analytics systems. Such systems are critical in airport logistics and security, where unauthorized access could lead to data breaches or manipulation of baggage tracking information. The lack of patches or mitigation links suggests that users must implement compensating controls or await vendor updates. Overall, this vulnerability underscores the importance of secure transmission of credentials, recommending the use of POST requests with encrypted bodies or other secure authentication mechanisms to prevent leakage via URLs.

Potential Impact

For European organizations, particularly airports, logistics providers, and security agencies relying on SICK AG Baggage Analytics, this vulnerability poses a significant risk to the confidentiality of authentication credentials. Exposure of usernames and passwords can lead to unauthorized access to baggage tracking and analytics systems, potentially compromising operational security and passenger data privacy. This could result in disruptions to baggage handling, loss of trust, regulatory penalties under GDPR for data breaches, and increased risk of targeted attacks exploiting stolen credentials. Since the vulnerability does not affect integrity or availability directly, the immediate operational impact may be limited; however, credential compromise can be a stepping stone for further attacks. The risk is heightened in environments where network traffic is monitored or logged extensively, such as corporate proxy servers or shared infrastructure. European aviation hubs with high volumes of baggage processing and reliance on automated analytics are particularly vulnerable to exploitation of this flaw.

Mitigation Recommendations

To mitigate CVE-2025-58584, organizations should immediately audit their use of SICK AG Baggage Analytics to identify any instances where credentials are transmitted via GET requests. They should work with SICK AG to obtain patches or updates that eliminate this insecure practice. In the interim, network administrators should implement strict logging policies to avoid storing full URLs containing sensitive data, and sanitize logs to remove or mask credentials. Transition authentication mechanisms to use POST requests with encrypted payloads (e.g., over HTTPS) rather than GET parameters. Employ network monitoring to detect unusual access patterns or repeated failed authentications that may indicate credential harvesting attempts. Additionally, enforce strong password policies and consider multi-factor authentication (MFA) where possible to reduce the impact of credential exposure. Regularly review browser and proxy cache configurations to limit retention of sensitive URLs. Finally, conduct security awareness training for staff to recognize and report suspicious activity related to credential exposure.

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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: 10/6/2025, 7:17:03 AM

Last enriched: 10/6/2025, 7:17:46 AM

Last updated: 10/6/2025, 7:46:16 PM

Views: 8

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