CVE-2017-3610 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-2017-3610 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 complex security flaw that operates at the foundational level of database operations, where the vulnerability exists in the core data storage mechanisms that handle critical information processing and retrieval functions. The affected system architecture creates potential entry points for malicious actors who can exploit this weakness to gain unauthorized control over the data store operations.
The technical nature of this vulnerability involves a combination of access vector and privilege requirements that create a complex attack surface. The CVSS 3.0 scoring system categorizes this as a medium to high severity issue with a base score of 7.0, indicating substantial impact across confidentiality, integrity, and availability domains. The attack vector assessment (AV:L) suggests local system access is required, while the high attack complexity (AC:H) indicates sophisticated exploitation methods are necessary. The vulnerability requires minimal privileges (PR:N) but demands user interaction (UI:R) from someone other than the attacker, which introduces a human factor component that complicates the attack scenario.
The operational impact of this vulnerability extends beyond simple data compromise, as successful exploitation can lead to complete takeover of the Data Store system. This represents a critical failure in the security architecture where an attacker who gains access to the infrastructure can potentially assume full control over database operations and data management functions. The implications for organizations using affected versions include potential data breaches, unauthorized modifications to database content, and complete system disruption. The vulnerability's characteristics align with CWE-284 (Improper Access Control) and CWE-255 (Credentials Management Errors) classifications, indicating weak access control mechanisms and credential handling failures within the system.
From an attacker's perspective, the requirement for human interaction introduces a social engineering component that may involve phishing attacks, insider threats, or other manipulation techniques to gain initial access to the system infrastructure. This human factor requirement makes the vulnerability more difficult to exploit automatically but also more challenging to defend against through traditional automated security measures. The security implications extend to the broader ATT&CK framework where this vulnerability could map to techniques involving privilege escalation, persistence mechanisms, and credential access. Organizations implementing affected versions face substantial risk as the vulnerability can enable attackers to establish long-term access to critical data repositories while maintaining operational control over the compromised systems.
Mitigation strategies should focus on immediate version upgrades to 6.2.32 or later releases where the vulnerability has been addressed through security patches. Additional protective measures include implementing network segmentation to limit access to data store systems, deploying robust monitoring solutions to detect anomalous access patterns, and establishing comprehensive access control policies that minimize the attack surface. Security teams should also conduct thorough vulnerability assessments to identify systems running affected versions and implement layered defense mechanisms that can detect and prevent exploitation attempts. The remediation process requires careful planning to ensure database availability during patching operations while maintaining comprehensive backup and recovery procedures to protect against potential disruption during the upgrade process.