CVE-2026-60408 in TimesTen In-Memory Database
Summary
by MITRE • 07/22/2026
Vulnerability in the TimesTen In-Memory Database product of Oracle TimesTen In-Memory Database (component: Kubernetes Operator). The supported version that is affected is 26.1.1.1.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTPS to compromise TimesTen In-Memory Database. Successful attacks of this vulnerability can result in unauthorized read access to a subset of TimesTen In-Memory Database accessible data. CVSS 3.1 Base Score 4.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).
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Analysis
by VulDB Data Team • 07/22/2026
The vulnerability under analysis affects Oracle TimesTen In-Memory Database's Kubernetes Operator component at version 26.1.1.1.0, representing a significant security weakness that undermines the confidentiality of database operations. This flaw exists within the operational framework of in-memory database systems where performance and data integrity are paramount. The vulnerability's classification as easily exploitable indicates that attackers can leverage relatively simple techniques to gain unauthorized access, making it particularly concerning for environments where database security is critical. The affected component operates within containerized environments managed by Kubernetes orchestration platforms, which introduces additional attack surface considerations specific to cloud-native deployment models.
The technical flaw manifests as a privilege escalation vulnerability that allows low-privileged attackers with network access via HTTPS to compromise the database system. This represents a direct violation of the principle of least privilege that should govern all database access controls. The vulnerability's CVSS score of 4.3 reflects its moderate severity in terms of confidentiality impact, though it should not be underestimated given that unauthorized read access to database subsets can expose sensitive information including user credentials, financial data, personal records, or proprietary business information. The attack vector requires only network connectivity over HTTPS, eliminating the need for physical access or complex exploitation techniques. This accessibility makes the vulnerability particularly dangerous in environments where network exposure is common and traditional perimeter security measures may not fully protect against such attacks.
The operational impact of this vulnerability extends beyond immediate data compromise to include potential business continuity issues and regulatory compliance violations. Organizations relying on TimesTen In-Memory Database for critical applications face risks of data leakage that could affect customer trust, competitive positioning, and legal standing. The subset access capability suggests that attackers can target specific database objects or tables rather than gaining unrestricted access, though this targeted approach still represents a significant breach of data confidentiality. This vulnerability aligns with CWE-284 (Improper Access Control) and may also relate to CWE-310 (Cryptographic Issues) given the HTTPS network exposure component. The attack pattern corresponds to techniques described in MITRE ATT&CK framework under T1071.004 (Application Layer Protocol: DNS) and T1046 (Network Service Scanning) where attackers probe for vulnerable services before exploiting access control weaknesses.
Organizations should implement immediate mitigations including network segmentation to limit HTTPS access to the database operator, enforcing strict authentication mechanisms, and applying available patches or updates from Oracle. The vulnerability's configuration management aspect suggests that proper role-based access controls and network access lists should be reviewed and strengthened. Monitoring network traffic for suspicious HTTPS requests targeting the Kubernetes operator endpoints can help detect exploitation attempts. Additionally, organizations should conduct thorough audits of their TimesTen database deployments to identify all instances running the vulnerable version and ensure comprehensive patch management processes are in place. The remediation approach should consider both immediate defensive measures such as access control hardening and long-term architectural improvements including zero-trust network principles that assume breach scenarios when designing database security controls.