CVE-2017-3604 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-2017-3604 resides within Oracle Berkeley DB's Data Store component, representing a significant security weakness that emerged prior to version 6.2.32. This issue manifests as a privilege escalation vulnerability that enables attackers to compromise the Data Store system through unauthorized access to the underlying infrastructure. The vulnerability's classification as difficult to exploit indicates that while it requires specific conditions for successful exploitation, the potential impact remains severe enough to warrant immediate attention. The CVSS 3.0 score of 7.0 reflects the high severity across all three core security principles: confidentiality, integrity, and availability, with the vector AV:L/AC:H/PR:N/UI:R/S:U indicating local access requirements, high attack complexity, no privilege requirements, and user interaction needs.
The technical flaw within the Data Store component stems from inadequate access controls and authentication mechanisms that allow an attacker with logon access to the infrastructure to gain unauthorized control over the database system. This vulnerability operates under the premise that successful exploitation requires human interaction from someone other than the attacker, suggesting that the attack may involve social engineering elements or require legitimate user credentials to be obtained through non-technical means. The attack vector indicates that the vulnerability can be exploited through local infrastructure access, making it particularly dangerous in environments where physical or network access controls are insufficient. The combination of these factors creates a complex attack scenario where the attacker must first gain access to the infrastructure and then leverage the Data Store vulnerability to achieve system compromise.
The operational impact of this vulnerability extends beyond simple data theft, as successful exploitation can result in complete takeover of the Data Store system. This comprehensive compromise affects all three fundamental security properties, potentially allowing attackers to modify data, prevent legitimate access to the database, and extract sensitive information. The vulnerability's classification under CWE (Common Weakness Enumeration) would likely fall within categories related to insufficient access control or privilege escalation mechanisms, making it particularly dangerous in enterprise environments where database systems store critical business data. Organizations utilizing affected versions of Oracle Berkeley DB face significant risk of data breaches, system downtime, and potential regulatory compliance violations.
Mitigation strategies for CVE-2017-3604 should prioritize immediate upgrade to Oracle Berkeley DB version 6.2.32 or later, which contains the necessary patches to address the vulnerability. System administrators should implement comprehensive access controls and monitoring to detect unauthorized infrastructure access attempts, as the vulnerability requires legitimate access to the underlying system for exploitation. Network segmentation and principle of least privilege should be enforced to minimize the potential impact of successful attacks, while regular security audits should verify that all systems have been properly updated. The vulnerability's requirement for human interaction suggests that employee security training and awareness programs should be strengthened to prevent social engineering attacks that might facilitate exploitation. Organizations should also consider implementing intrusion detection systems and continuous monitoring solutions to identify potential exploitation attempts before they can result in successful system compromise, aligning with the MITRE ATT&CK framework's recommendations for defending against privilege escalation and credential access threats.