CVE-2013-0668 in Wincc Tia Portal
Summary
by MITRE
Multiple cross-site scripting (XSS) vulnerabilities in the HMI web application in Siemens WinCC (TIA Portal) 11 allow remote attackers to inject arbitrary web script or HTML via a crafted URL.
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Analysis
by VulDB Data Team • 01/01/2022
The vulnerability identified as CVE-2013-0668 represents a critical security flaw in Siemens WinCC HMI web application component within the TIA Portal version 11 environment. This issue manifests as multiple cross-site scripting vulnerabilities that fundamentally compromise the security posture of industrial control systems. The vulnerability resides in the web application interface of the Human Machine Interface component, which serves as the primary user interaction point for supervisory control and data acquisition systems. These vulnerabilities arise from insufficient input validation and output encoding mechanisms within the web application's URL handling functionality, creating exploitable entry points for malicious actors seeking to compromise industrial automation environments.
The technical flaw stems from the application's failure to properly sanitize and validate user-supplied input parameters within URL structures. Attackers can craft malicious URLs containing embedded scripts or HTML content that bypass the application's security controls when processed by the web server. This weakness allows for arbitrary code execution within the context of the victim's browser session, enabling attackers to manipulate the web interface and potentially access sensitive operational data. The vulnerability specifically affects the HMI web application component, which typically runs on standard web servers and utilizes common web technologies such as javascript and html to present operational interfaces to users. The flaw operates at the application layer where user input is processed without adequate sanitization, creating a direct pathway for malicious code injection.
The operational impact of this vulnerability extends beyond traditional web application security concerns into critical industrial control system security domains. Remote attackers can exploit these vulnerabilities to gain unauthorized access to operational interfaces, potentially leading to data manipulation, system disruption, or unauthorized control of industrial processes. The implications are particularly severe in industrial environments where WinCC systems control critical infrastructure operations, as successful exploitation could result in operational downtime, safety hazards, or even physical damage to industrial assets. The remote nature of the attack means that threat actors do not require physical access to the industrial network, making the vulnerability particularly dangerous for operational technology environments. This vulnerability directly impacts the confidentiality, integrity, and availability of industrial control systems, representing a significant risk to industrial cybersecurity posture.
Mitigation strategies for CVE-2013-0668 should focus on both immediate remediation and long-term security enhancements. Organizations must apply the official Siemens security patches and updates that address the input validation and output encoding deficiencies within the WinCC HMI web application. Network segmentation and access controls should be implemented to limit exposure of the affected systems to untrusted networks. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in other industrial control system components. The vulnerability aligns with CWE-79 which describes cross-site scripting flaws, and represents a clear violation of secure coding practices that should be addressed through comprehensive security development lifecycle implementation. Additionally, implementing web application firewalls and content security policies can provide additional defense-in-depth measures to protect against similar scripting injection attacks. Organizations should also consider implementing network monitoring solutions that can detect anomalous traffic patterns indicative of exploitation attempts against industrial control system interfaces.