PatchSiren cyber security CVE debrief
CVE-2017-3318 Redhat CVE debrief
CVE-2017-3318 is a MySQL Server error-handling vulnerability that can expose sensitive data from affected server instances. The NVD record describes the flaw as difficult to exploit and notes that an attacker needs high privileges, local logon to the infrastructure where MySQL runs, and user interaction by another person. The primary impact is confidentiality: successful exploitation can lead to unauthorized access to critical data or all data accessible to MySQL Server.
- Vendor
- Redhat
- Product
- Unknown
- CVSS
- MEDIUM 4
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2017-01-27
- Original CVE updated
- 2026-05-13
- Advisory published
- 2017-01-27
- Advisory updated
- 2026-05-13
Who should care
Database administrators, platform and infrastructure teams, and downstream package maintainers running affected Oracle MySQL releases or vendor-packaged builds on supported Linux distributions. It is most relevant in environments where privileged local users or administrators can interact with the host running MySQL.
Technical summary
The vulnerability is classified by NVD with CVSS 3.1 vector CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:H/I:N/A:N, indicating a local, high-complexity issue requiring high privileges and user interaction. Oracle's affected ranges in the record are MySQL 5.5.53 and earlier, 5.6.34 and earlier, and 5.7.16 and earlier. NVD associates the issue with error handling in the MySQL Server component and lists downstream advisories for Debian, Red Hat, and Gentoo, alongside Oracle's January 2017 CPU advisory.
Defensive priority
Medium priority for systems still running affected MySQL versions or unpatched downstream builds; lower urgency if already updated to fixed releases and host-level access is tightly controlled.
Recommended defensive actions
- Verify whether any MySQL Server deployments are at or below the affected version ranges listed by NVD: 5.5.53, 5.6.34, and 5.7.16.
- Apply vendor-recommended updates from Oracle or your downstream distribution advisories for affected packages.
- Review which users have privileged local access to the systems that run MySQL Server, since the reported attack path requires high privileges on the host.
- Limit interactive access to database hosts and reduce the number of accounts with administrative privileges where feasible.
- Use the NVD and vendor advisories to confirm whether your exact package build is covered, especially for downstream Red Hat, Debian, or Gentoo packages.
Evidence notes
Based on the NVD record, this issue affects Oracle MySQL Server and is described as an error-handling vulnerability with confidentiality impact only. The NVD description states that exploitation requires a high-privileged attacker with logon to the infrastructure where MySQL Server executes and human interaction from someone other than the attacker. NVD lists affected Oracle MySQL versions 5.5.53 and earlier, 5.6.34 and earlier, and 5.7.16 and earlier. The reference set includes Oracle's January 2017 CPU advisory and downstream advisories from Debian, Red Hat, and Gentoo, supporting the need to check vendor-specific fixes rather than relying only on the generic CVE entry.
Sources and references
Verified primary and authoritative sources
-
CVE-2017-3318 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2017-3318
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2017-3318 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2017-3318
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Mitigation or vendor reference
Unverified legacy reference
URL: https://access.redhat.com/errata/RHSA-2017:2192
[email protected] - Third Party Advisory
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Mitigation or vendor reference
Unverified legacy reference
URL: https://access.redhat.com/errata/RHSA-2017:2787
[email protected] - Third Party Advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.