CVE-2017-10218 in Hospitality Guest Access
Summary
by MITRE
Vulnerability in the Oracle Hospitality Guest Access component of Oracle Hospitality Applications (subcomponent: Base). Supported versions that are affected are 4.2.0.0 and 4.2.1.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Hospitality Guest Access. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Oracle Hospitality Guest Access accessible data. CVSS 3.0 Base Score 4.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 01/03/2021
The vulnerability identified as CVE-2017-10218 resides within the Oracle Hospitality Guest Access component, specifically within the Base subcomponent of Oracle Hospitality Applications. This security flaw affects versions 4.2.0.0 and 4.2.1.0, representing a significant concern for hospitality organizations that rely on this platform for guest management and access control systems. The vulnerability classification as easily exploitable indicates that attackers with minimal privileges and network access can potentially compromise the system, making it particularly dangerous in environments where guest data and access permissions are critical.
The technical nature of this vulnerability stems from insufficient authorization controls within the Oracle Hospitality Guest Access component, allowing attackers with low privileges to perform unauthorized read operations against specific data subsets within the application. The CVSS 3.0 score of 4.3 reflects the confidentiality impact, indicating that successful exploitation would result in unauthorized data access without compromising data integrity or availability. The attack vector requires network access via HTTP, suggesting that the vulnerability could be exploited through web-based interfaces commonly used in hospitality management systems. The low privilege requirement and lack of user interaction make this vulnerability particularly concerning as it can be exploited without requiring user engagement or elevated access rights.
From an operational perspective, this vulnerability represents a serious risk to hospitality organizations managing guest information, access control systems, and sensitive personal data. The unauthorized read access to subset data within the Guest Access component could potentially expose guest profiles, access permissions, reservation details, and other confidential information that hospitality providers typically handle. The impact extends beyond simple data exposure as guest access control systems often contain information that could be used for identity theft, social engineering attacks, or other malicious activities targeting both guests and the organization's infrastructure. This vulnerability could undermine the trust relationship between hospitality providers and their guests while potentially exposing the organization to regulatory compliance violations.
Organizations affected by CVE-2017-10218 should implement immediate mitigations including applying the relevant Oracle security patches, implementing network segmentation to limit access to the affected systems, and conducting thorough security assessments of their hospitality management platforms. The vulnerability aligns with CWE-284 (Improper Access Control) and represents a clear violation of the principle of least privilege that should be enforced in all access control systems. From an ATT&CK framework perspective, this vulnerability maps to techniques involving credential access and privilege escalation through network-based attacks, potentially enabling adversaries to gather intelligence about guest access patterns and system configurations. Organizations should also consider implementing additional monitoring controls to detect unauthorized access attempts and establish incident response procedures specifically addressing potential data exposure scenarios involving guest access systems.