CVE-2025-58584 Overview
CVE-2025-58584 is a sensitive data exposure vulnerability affecting multiple SICK analytics products. The vulnerability stems from insecure credential handling where usernames and passwords are transmitted directly as URL parameters in HTTP requests. This insecure practice exposes authentication credentials to unintended disclosure through various logging mechanisms including server logs, browser histories, and proxy server records.
Critical Impact
Authentication credentials can be captured and exposed through server logs, browser history, proxy servers, and network monitoring tools, potentially leading to unauthorized access to industrial analytics systems.
Affected Products
- SICK Baggage Analytics
- SICK Enterprise Analytics
- SICK Logistic Diagnostic Analytics
- SICK Package Analytics
- SICK Tire Analytics
Discovery Timeline
- 2025-10-06 - CVE-2025-58584 published to NVD
- 2026-01-27 - Last updated in NVD database
Technical Details for CVE-2025-58584
Vulnerability Analysis
This vulnerability is classified under CWE-598 (Use of GET Request Method With Sensitive Query Strings), which describes the dangerous practice of transmitting sensitive information such as credentials through URL parameters. When authentication credentials are passed via URL query strings, they become visible in multiple locations throughout the request lifecycle.
The fundamental security issue is that URLs are designed to be logged, cached, and shared across systems. Unlike HTTP POST body data or properly implemented authentication headers, URL parameters are inherently visible and persistent. This design flaw in the affected SICK analytics products means that every authentication attempt creates multiple copies of user credentials in various system components.
Root Cause
The root cause of this vulnerability lies in the application's authentication implementation, which incorrectly uses HTTP GET request parameters to transmit sensitive credential data. Proper secure authentication mechanisms should transmit credentials through encrypted POST request bodies, secure authentication headers, or token-based systems that avoid placing secrets in URLs. The affected products fail to implement these security best practices, instead exposing credentials in the request URL where they can be logged by web servers, stored in browser history, cached by proxy servers, and captured by network monitoring tools.
Attack Vector
The attack vector for this vulnerability is network-based and requires no privileges or user interaction to exploit. An attacker can capture credentials through several methods:
Server Log Access: Web server access logs commonly record full URLs including query parameters. Any attacker with access to server logs can harvest credentials.
Browser History Extraction: Credentials stored in browser history can be extracted through malware, physical access, or browser synchronization features.
Proxy Server Interception: Corporate proxy servers and transparent proxies often log full request URLs, creating additional exposure points.
Network Traffic Analysis: Even over HTTPS, URLs may be visible in certain logging scenarios or through man-in-the-middle positions before TLS termination.
Referrer Header Leakage: When navigating from the authenticated page to external resources, the full URL (including credentials) may be sent in the HTTP Referer header.
Detection Methods for CVE-2025-58584
Indicators of Compromise
- Unusual or unauthorized access to SICK analytics products from unexpected IP addresses or locations
- Evidence of credential harvesting activities in server logs showing multiple distinct user credentials accessed sequentially
- Unexpected API calls or authentication attempts using credentials that should not be known externally
- Log analysis revealing credential patterns in URL strings within access logs
Detection Strategies
- Review web server access logs for authentication endpoints containing credential parameters in URL query strings
- Implement log monitoring to detect patterns of credential exposure in HTTP request logs
- Deploy network traffic analysis to identify GET requests containing authentication parameters
- Audit proxy server logs for captured credentials in URL parameters
Monitoring Recommendations
- Enable comprehensive logging on all SICK analytics products and monitor for anomalous authentication patterns
- Implement alerting for access attempts from unauthorized networks or IP ranges
- Monitor for bulk access to server logs or log aggregation systems that could indicate credential harvesting
- Track user session anomalies that might indicate compromised credentials
How to Mitigate CVE-2025-58584
Immediate Actions Required
- Contact SICK PSIRT through the SICK PSIRT Portal for the latest security guidance and patches
- Restrict network access to affected SICK analytics products to trusted networks only
- Review and purge server logs, proxy logs, and other systems that may contain exposed credentials
- Implement network segmentation to isolate industrial analytics systems from general network access
- Force password resets for all users who have authenticated to affected systems
Patch Information
SICK has published a security advisory for this vulnerability. Refer to the SICK CSAF Security Advisory (PDF) for detailed patch information and remediation guidance. The SICK CSAF JSON Advisory is also available for automated processing. Organizations should follow the SICK Cybersecurity Guidelines for comprehensive security hardening.
Workarounds
- Deploy a reverse proxy or web application firewall (WAF) in front of affected systems to intercept and sanitize credential-containing URLs before they reach backend logs
- Implement network-level access controls to limit which systems can reach the affected analytics products
- Configure server logging to exclude or redact query string parameters containing sensitive data
- Use VPN or secure tunneling for all access to affected systems until patches are applied
- Follow CISA ICS Recommended Practices for securing industrial control system environments
# Example: Configure Apache to exclude query strings from access logs
# Add to Apache configuration to use a custom log format without query strings
LogFormat "%h %l %u %t \"%m %U\" %>s %b" noquerylog
CustomLog /var/log/apache2/access.log noquerylog
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
