CVE-2017-3614 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-2017-3614 resides within Oracle Berkeley DB's Data Store component, representing a significant security weakness that affects versions prior to 6.2.32. This issue manifests as a buffer overflow condition that can be exploited by malicious actors with access to the underlying infrastructure where the Data Store operates. The vulnerability's classification as difficult to exploit indicates that while it requires specific conditions for successful exploitation, the potential impact is severe enough to warrant immediate attention. The CVSS 3.0 score of 7.0 reflects high severity across all impact vectors including confidentiality, integrity, and availability, demonstrating the comprehensive nature of the threat posed by this flaw.
The technical nature of this vulnerability stems from improper input validation within the Data Store component, creating a scenario where malicious data can cause the system to behave unpredictably. The attack vector requires local access to the infrastructure, meaning an attacker must already have some level of system access or be positioned within the network environment where the database operates. However, the requirement for human interaction beyond the initial compromise indicates that the exploitation may involve social engineering elements or require additional steps that cannot be fully automated. This characteristic places the vulnerability in a unique category where the initial access point may be relatively straightforward, but the complete exploitation chain requires additional human involvement.
The operational impact of successfully exploiting CVE-2017-3614 can be catastrophic for organizations relying on Oracle Berkeley DB for critical data storage operations. A successful attack can result in full takeover of the Data Store component, potentially allowing attackers to access, modify, or destroy sensitive data while also compromising the integrity of the entire database system. This vulnerability directly maps to CWE-121, which describes stack-based buffer overflow conditions, and aligns with ATT&CK technique T1068, which covers 'Exploitation for Privilege Escalation' through the use of system vulnerabilities. The compromise of Data Store functionality can lead to extended downtime, data loss, and potential regulatory compliance violations depending on the nature of the stored information.
Organizations must implement immediate remediation measures including upgrading to Oracle Berkeley DB version 6.2.32 or later to address this vulnerability. Network segmentation and access control measures should be strengthened to limit local system access points and reduce the attack surface available to potential adversaries. Security monitoring should be enhanced to detect unusual patterns of database access or system behavior that might indicate exploitation attempts. Additionally, regular vulnerability assessments and penetration testing should be conducted to identify similar weaknesses in related systems and ensure comprehensive protection against similar threats. The remediation process should also include comprehensive staff training to recognize potential social engineering attempts that might be used to facilitate exploitation of this vulnerability through human interaction requirements.