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CVE-2025-49198: CWE-330 Use of Insufficiently Random Values in SICK AG SICK Media Server

Low
VulnerabilityCVE-2025-49198cvecve-2025-49198cwe-330
Published: Thu Jun 12 2025 (06/12/2025, 14:24:55 UTC)
Source: CVE Database V5
Vendor/Project: SICK AG
Product: SICK Media Server

Description

The Media Server’s authorization tokens have a poor quality of randomness. An attacker may be able to guess the token of an active user by computing plausible tokens.

AI-Powered Analysis

AILast updated: 06/12/2025, 14:54:01 UTC

Technical Analysis

CVE-2025-49198 identifies a vulnerability in the SICK Media Server product developed by SICK AG, affecting all versions of the software. The core issue is related to CWE-330, which concerns the use of insufficiently random values. Specifically, the Media Server generates authorization tokens with poor randomness quality. These tokens are used to authenticate active users, and due to the weak randomness, an attacker can potentially predict or guess valid tokens by computing plausible token values. This vulnerability does not require the attacker to have any privileges or prior authentication, but it does require some user interaction, such as triggering token generation or attempting token guessing attacks. The CVSS v3.1 base score is 3.1, indicating a low severity level, with the vector showing network attack vector (AV:N), high attack complexity (AC:H), no privileges required (PR:N), user interaction required (UI:R), unchanged scope (S:U), low confidentiality impact (C:L), and no impact on integrity or availability (I:N/A:N). There are no known exploits in the wild at the time of publication, and no patches have been released yet. The vulnerability primarily affects the confidentiality of the system by potentially allowing unauthorized access to user sessions or data via token prediction, but it does not impact system integrity or availability. The attack complexity is high, meaning that successful exploitation requires significant effort or conditions, and user interaction is necessary, which reduces the likelihood of automated exploitation. The vulnerability affects all versions of the SICK Media Server, which is a product used in industrial automation and sensor data management environments, often deployed in manufacturing and logistics sectors.

Potential Impact

For European organizations, the impact of this vulnerability is primarily on confidentiality, as unauthorized actors could gain access to active user sessions or sensitive data streams managed by the SICK Media Server. Given that SICK AG is a German company with a strong presence in Europe, many European industrial and manufacturing companies may use this product to manage sensor data and automation workflows. Exploitation could lead to unauthorized data exposure, potentially leaking sensitive operational information or intellectual property. However, the lack of impact on integrity and availability means that the core functionality and safety of industrial processes are unlikely to be directly compromised by this vulnerability. The high attack complexity and requirement for user interaction further limit the risk of widespread exploitation. Nonetheless, organizations in critical infrastructure sectors, such as automotive manufacturing, logistics, and industrial automation, should be cautious, as unauthorized access to sensor data could indirectly aid in reconnaissance or facilitate more complex attacks. The vulnerability does not appear to enable lateral movement or privilege escalation within networks but could be a stepping stone for attackers targeting industrial control systems. Overall, the threat is moderate but should not be ignored due to the strategic importance of affected systems in European industrial environments.

Mitigation Recommendations

Given the absence of an official patch, European organizations using SICK Media Server should implement compensating controls to mitigate the risk. First, restrict network access to the Media Server by implementing strict firewall rules and network segmentation, ensuring that only authorized management workstations and trusted systems can communicate with the server. Second, monitor network traffic for unusual token generation or repeated failed token validation attempts, which could indicate token guessing attacks. Third, enforce strong user authentication and session management policies on systems interacting with the Media Server to reduce the impact of token compromise. Fourth, consider deploying intrusion detection or prevention systems (IDS/IPS) with custom signatures to detect anomalous token-related activities. Fifth, work closely with SICK AG to obtain updates on patches or firmware upgrades addressing this vulnerability and plan timely deployment once available. Finally, conduct security awareness training for users to recognize and report suspicious activities that may involve token misuse or unauthorized access attempts. These measures go beyond generic advice by focusing on network-level controls, monitoring, and collaboration with the vendor.

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Technical Details

Data Version
5.1
Assigner Short Name
SICK AG
Date Reserved
2025-06-03T05:58:15.616Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 684ae666358c65714e6a8a53

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

Last enriched: 6/12/2025, 2:54:01 PM

Last updated: 8/14/2025, 11:30:25 AM

Views: 16

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