CVE-2017-3612 in Berkeley DB
Summary
by MITRE
Vulnerability in the Data Store component of Oracle Berkeley DB. The supported version that is affected is Prior to 6.2.32. Difficult to exploit vulnerability allows unauthenticated attacker with logon to the infrastructure where Data Store executes to compromise Data Store. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in takeover of Data Store. CVSS 3.0 Base Score 7.0 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H).
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Analysis
by VulDB Data Team • 11/29/2022
The vulnerability identified as CVE-2017-3612 resides within Oracle Berkeley DB's Data Store component, representing a significant security weakness that affects versions prior to 6.2.32. This database system serves as a foundational element for numerous applications requiring high-performance data storage solutions, making its security paramount for enterprise environments. The vulnerability's classification as difficult to exploit indicates that while it requires specific conditions for successful exploitation, the potential impact makes it a serious concern for system administrators and security professionals. The CVSS 3.0 base score of 7.0 reflects a high severity level that encompasses all three core security principles: confidentiality, integrity, and availability, demonstrating the comprehensive nature of the potential compromise.
The technical flaw manifests in the Data Store component's insufficient security controls that allow an unauthenticated attacker who has already gained logon access to the underlying infrastructure to compromise the Data Store system. This requires the attacker to first establish a foothold on the system, which then provides them with the necessary privileges to exploit this vulnerability. The attack vector analysis reveals that the vulnerability can be reached through local access (AV:L) which means the attacker must have access to the system where the Data Store is running, typically through legitimate user credentials or system compromise. The high attack complexity (AC:H) indicates that the exploitation requires significant technical expertise and specific conditions to be met, while the lack of privilege requirements (PR:N) suggests that the attacker does not need elevated system privileges to initiate the attack.
The operational impact of successfully exploiting this vulnerability is severe and potentially devastating for affected organizations. A successful attack can result in complete takeover of the Data Store component, which would provide the attacker with unrestricted access to all stored data and potentially enable them to modify or delete critical information. This compromise affects the confidentiality of sensitive data stored within the database, the integrity of the data through potential modification or corruption, and the availability of the service through potential denial of access or system disruption. The human interaction requirement (UI:R) indicates that the attack may involve some form of social engineering or user deception that requires additional personnel involvement beyond the initial system compromise, making the attack more sophisticated but not necessarily less dangerous.
The vulnerability's characteristics align with CWE-284, which addresses improper access control issues in software systems, and can be mapped to ATT&CK technique T1068, which involves exploiting vulnerabilities in legitimate credentials. Organizations should implement immediate mitigations including upgrading to Oracle Berkeley DB version 6.2.32 or later, which contains the necessary security patches to address this vulnerability. Network segmentation and access controls should be strengthened to limit the potential impact of any successful compromise, while monitoring systems should be enhanced to detect unusual access patterns or unauthorized activities within the database environment. Regular security assessments and vulnerability scanning should be conducted to identify any potential exposure to similar vulnerabilities in the broader system infrastructure, ensuring comprehensive protection against both current and emerging threats.