CVE-2025-58587: Sick Baggage Analytics Auth Bypass Flaw

CVE-2025-58587 Overview

CVE-2025-58587 is a critical authentication vulnerability affecting multiple SICK industrial analytics products. The application does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it possible for an attacker to guess user credentials through brute-force attacks. This weakness, classified as CWE-307 (Improper Restriction of Excessive Authentication Attempts), allows unauthenticated remote attackers to systematically attempt credential combinations until valid credentials are discovered.

Critical Impact

Successful exploitation could allow unauthorized access to industrial analytics systems, potentially compromising sensitive operational data and enabling further attacks on connected industrial control systems.

Affected Products

• SICK Baggage Analytics
• SICK Enterprise Analytics
• SICK Logistic Diagnostic Analytics
• SICK Package Analytics
• SICK Tire Analytics

Discovery Timeline

• October 6, 2025 - CVE-2025-58587 published to NVD
• January 27, 2026 - Last updated in NVD database

Technical Details for CVE-2025-58587

Vulnerability Analysis

This vulnerability stems from a fundamental lack of authentication rate limiting in affected SICK analytics products. The authentication mechanism fails to track, limit, or delay repeated login attempts from the same source. Without these protective controls, an attacker can perform unlimited authentication attempts against the login interface, systematically testing username and password combinations.

The network-based attack vector means any attacker with network access to the vulnerable application can attempt exploitation. The authentication bypass does not require prior privileges or user interaction, making it particularly dangerous in environments where these analytics platforms are exposed to broader network segments.

Industrial analytics systems like those affected often contain sensitive operational data about manufacturing processes, logistics operations, and quality metrics. Unauthorized access could lead to data theft, operational disruption, or serve as a pivot point for deeper network intrusion into industrial control system environments.

Root Cause

The root cause is the absence of account lockout mechanisms, progressive delays, CAPTCHA challenges, or other rate-limiting controls on the authentication endpoint. The application accepts and processes authentication requests without maintaining state about previous failed attempts, allowing attackers to automate credential guessing at machine speed.

Attack Vector

The attack can be executed remotely over the network. An attacker would typically:

1. Identify the authentication endpoint on the vulnerable SICK analytics product
2. Compile a list of potential usernames (often default accounts or common names)
3. Use automated tools to send rapid authentication requests with various password combinations
4. Monitor responses to identify successful credential matches
5. Gain unauthorized access using discovered valid credentials

The vulnerability is exploited through standard HTTP authentication requests, making it accessible to common security testing tools and attack frameworks. Attackers may use dictionary attacks with common passwords or targeted wordlists based on organizational context.

Detection Methods for CVE-2025-58587

Indicators of Compromise

• Abnormally high volume of failed authentication attempts from single or multiple IP addresses
• Sequential or patterned authentication failures suggesting automated attack tools
• Successful logins following extensive failed attempt sequences from the same source
• Authentication attempts using default or commonly-targeted usernames
• Off-hours login activity to analytics platforms

Detection Strategies

• Implement centralized log collection for authentication events from all SICK analytics platforms
• Configure SIEM alerts for failed login threshold breaches (e.g., more than 10 failures per minute per source)
• Monitor for authentication attempts from unexpected geographic regions or IP ranges
• Deploy network intrusion detection signatures for brute-force attack patterns

Monitoring Recommendations

• Enable verbose authentication logging on all affected SICK analytics products
• Establish baseline metrics for normal authentication patterns and alert on statistical anomalies
• Integrate analytics platform logs with security monitoring infrastructure
• Review authentication logs regularly for indicators of credential stuffing or password spraying attacks

How to Mitigate CVE-2025-58587

Immediate Actions Required

• Review the SICK PSIRT Resource for official security guidance and updates
• Consult the SICK Security Advisory (PDF) for specific remediation instructions
• Implement network segmentation to restrict access to analytics platforms to authorized personnel only
• Deploy a web application firewall (WAF) or reverse proxy with brute-force protection capabilities
• Enforce strong password policies and consider multi-factor authentication where possible

Patch Information

Organizations should consult the official SICK CSAF Security Advisory for the latest patch information and affected version details. SICK provides security updates through their PSIRT (Product Security Incident Response Team) portal. Review the SICK Cybersecurity Operating Guidelines for comprehensive security hardening recommendations.

Workarounds

• Place affected analytics products behind VPN or network access control to limit exposure
• Implement external rate limiting using network security appliances or reverse proxies
• Configure firewall rules to restrict authentication endpoint access to trusted IP ranges
• Enable account lockout policies at the network or directory service level if integrated with external authentication
• Follow CISA ICS Recommended Practices for defense-in-depth strategies in industrial environments