CVE-2012-1743 in Clinical Remote
Summary
by MITRE
Unspecified vulnerability in the Oracle Clinical Remote Data Capture Option component in Oracle Industry Applications 4.6.0.x, 4.6.2, and 4.6.3 allows remote authenticated users to affect confidentiality, related to HTML Surround.
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Analysis
by VulDB Data Team • 05/04/2017
The vulnerability identified as CVE-2012-1743 resides within the Oracle Clinical Remote Data Capture Option component of Oracle Industry Applications, specifically affecting versions 4.6.0.x, 4.6.2, and 4.6.3. This issue represents a security flaw that enables remote authenticated attackers to compromise the confidentiality of data within the system. The vulnerability is categorized under the broader class of information disclosure weaknesses that can have significant implications for clinical research data integrity and patient privacy. The affected component is designed to facilitate remote data capture in clinical trial environments, making it a critical element for pharmaceutical and healthcare organizations conducting research operations. The unspecified nature of the vulnerability in the description suggests that the exact technical mechanism remains partially obscured, though the impact on confidentiality indicates a serious security concern.
The technical flaw manifests through HTML Surround related mechanisms within the Oracle Clinical Remote Data Capture Option, suggesting that the vulnerability stems from improper handling of HTML content or surrounding elements in the data capture process. This type of vulnerability often occurs when applications fail to properly sanitize or validate HTML input, potentially allowing malicious users to inject harmful content or manipulate the data flow. The HTML Surround reference indicates that the issue likely involves how the system processes or renders HTML elements around data fields, which could enable attackers to access or manipulate sensitive clinical data through crafted inputs. The authentication requirement means that attackers must first establish valid credentials within the system before exploiting this vulnerability, but once authenticated, they can potentially access confidential information.
Operationally, the impact of this vulnerability extends beyond simple data exposure to encompass broader implications for clinical research integrity and regulatory compliance. Healthcare organizations and pharmaceutical companies that rely on Oracle Clinical Remote Data Capture for clinical trial management face significant risks when this vulnerability exists, as it could lead to unauthorized access to patient medical records, study protocols, or other sensitive research data. The confidentiality impact suggests that attackers could potentially view or extract protected health information, which would violate data protection regulations such as HIPAA and GDPR. Organizations using these specific versions of Oracle Industry Applications would be particularly vulnerable, as the affected software versions represent widely deployed systems in clinical research environments where data security is paramount.
Mitigation strategies for CVE-2012-1743 should focus on immediate patch management and access control enhancements. Oracle would have released security patches for this vulnerability, and organizations must apply these updates as soon as possible to eliminate the risk. Additionally, implementing robust network segmentation and access controls can help limit the potential impact of authentication-based attacks. The vulnerability aligns with CWE-20, which describes improper input validation, and could potentially map to ATT&CK techniques related to privilege escalation and data extraction. Organizations should also consider implementing monitoring solutions to detect unusual access patterns or data exfiltration attempts that might indicate exploitation of this vulnerability. Regular security assessments and penetration testing of clinical data capture systems can help identify similar weaknesses and ensure comprehensive protection against both known and emerging threats in healthcare information systems.