CVE-2015-7836 in RuggedCom ROS
Summary
by MITRE
Siemens RUGGEDCOM ROS before 4.2.1 allows remote attackers to obtain sensitive information by sniffing the network for VLAN data within the padding section of an Ethernet frame.
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Analysis
by VulDB Data Team • 06/25/2022
The vulnerability identified as CVE-2015-7836 affects Siemens RUGGEDCOM ROS operating systems prior to version 4.2.1, representing a significant security flaw in industrial networking equipment. This issue stems from improper handling of VLAN (Virtual Local Area Network) data within Ethernet frame padding sections, creating an information disclosure vulnerability that can be exploited remotely. The affected devices operate in industrial control systems and critical infrastructure environments where network security is paramount, making this vulnerability particularly concerning for organizations relying on RUGGEDCOM hardware for their operational technology infrastructure.
The technical flaw manifests when network traffic is captured and analyzed by unauthorized parties who can extract sensitive information from the padding portion of Ethernet frames. Ethernet frames contain a padding section that is typically used to ensure minimum frame size requirements are met, but in this case, VLAN configuration data and potentially other sensitive network information becomes exposed within this padding area. Attackers can leverage network sniffing tools to capture these frames and extract the embedded VLAN information, which may include network topology details, device configurations, or other confidential data that should remain hidden from unauthorized network observers. This vulnerability specifically relates to the improper implementation of IEEE 802.1Q VLAN tagging protocols within the RUGGEDCOM ROS operating system, where the padding section inadvertently contains structured data that reveals network configuration information.
The operational impact of this vulnerability extends beyond simple information disclosure, as it creates potential pathways for more sophisticated attacks within industrial environments. Network reconnaissance becomes significantly easier for threat actors who can gather VLAN information to map network structures, identify device types, and understand network segmentation strategies. This intelligence can be leveraged for subsequent attacks including lateral movement within the network, targeted exploitation of specific device types, or social engineering campaigns that exploit the discovered network topology information. The vulnerability particularly affects environments where network segmentation is critical for operational technology security, as the exposure of VLAN data undermines the fundamental security principle of isolating critical systems from general network traffic. Organizations using these devices may experience cascading security issues where the initial information disclosure leads to more severe compromise of their industrial control systems.
Mitigation strategies for CVE-2015-7836 primarily involve upgrading the affected Siemens RUGGEDCOM ROS operating system to version 4.2.1 or later, which includes patches addressing the improper handling of VLAN data within Ethernet frame padding. Network administrators should also implement additional security controls such as network segmentation using firewalls and access control lists to limit exposure of sensitive network information even if the vulnerability exists. Monitoring network traffic for suspicious sniffing activity and implementing intrusion detection systems can help identify potential exploitation attempts. Organizations should conduct comprehensive network assessments to identify all affected devices and establish regular patch management procedures to ensure timely deployment of security updates. This vulnerability aligns with CWE-200 (Information Exposure) and could potentially be leveraged as part of ATT&CK technique T1046 (Network Service Scanning) or T1082 (System Information Discovery) to gather intelligence for more sophisticated attacks against industrial control systems.