CVE-2026-60408 (GCVE-0-2026-60408)
Vulnerability from cvelistv5 – Published: 2026-07-21 21:35 – Updated: 2026-07-24 16:13
VLAI
EPSS
VEX
Summary
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).
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-24 16:10 UTC
CWE
- 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.
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.oracle.com/security-alerts/cpujul2026.html | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Oracle Corporation | TimesTen In-Memory Database |
Affected:
26.1.1.1.0
(semver)
cpe:2.3:a:oracle:timesten_in-memory_database:26.1.1.1.0:*:*:*:*:*:*:* |
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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