CVE-2017-3613 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-2017-3613 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 the identified flaw particularly concerning for organizations relying on its services. The vulnerability operates within a specific attack vector that requires local access to the infrastructure where the Data Store executes, indicating that an attacker must first establish a presence on the target system before exploiting the weakness.
The technical nature of this vulnerability manifests as a difficult-to-exploit issue that demands an attacker to possess logon credentials to the target infrastructure, suggesting that the flaw does not allow for remote code execution without prior system access. However, the requirement for human interaction beyond the initial compromise indicates that additional steps are necessary for successful exploitation, potentially involving social engineering or user privilege escalation tactics. The CVSS 3.0 scoring system assigns this vulnerability a base score of 7.0, reflecting high impact across all three core security principles: confidentiality, integrity, and availability, which collectively indicate a severe threat level that could compromise the entire data store system.
The operational impact of CVE-2017-3613 extends far beyond simple data theft, as successful exploitation can result in complete takeover of the Data Store component. This level of compromise represents a critical threat to organizational security posture, potentially allowing attackers to manipulate or destroy data, modify system configurations, or establish persistent access points within the affected infrastructure. The vulnerability's classification under the ATT&CK framework would likely align with techniques involving privilege escalation and persistence mechanisms, as the successful exploitation could enable attackers to maintain long-term access to the compromised database system. Organizations utilizing Oracle Berkeley DB versions prior to 6.2.32 face substantial risk of data breaches and system compromise, particularly in environments where the database serves as a critical data repository.
Mitigation strategies for this vulnerability primarily focus on immediate patch management and system updates to bring affected installations to version 6.2.32 or later. Organizations should implement comprehensive security monitoring to detect potential exploitation attempts and establish robust access controls to limit the attack surface. The vulnerability's requirement for local access and human interaction suggests that network segmentation and privilege separation measures could provide additional protection layers. Security teams should also conduct thorough vulnerability assessments to identify all instances of affected Oracle Berkeley DB installations and implement proper monitoring for unusual database activities that might indicate exploitation attempts. This vulnerability aligns with CWE-284, which addresses improper access control issues, and demonstrates the importance of maintaining current software versions to prevent exploitation of known security weaknesses.