CVE intelligence and bounded remediation

CVE-2017-3588 — Vulnerability in the Solaris Cluster component of Oracle Sun Systems Products Suite (subcomponent: HA for MySQL)

High CVSS 7.3

Vulnerability in the Solaris Cluster component of Oracle Sun Systems Products Suite (subcomponent: HA for MySQL). Supported versions that are affected are 3.3 and 4.3. Easily exploitable vulnerability allows unauthenticated attacker with logon to the infrastructure where Solaris Cluster executes to compromise Solaris Cluster. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Solaris Cluster accessible data as well as unauthorized access to critical data or complete access to all Solaris Cluster accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Solaris Cluster. CVSS 3.0 Base Score 7.3 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:L).

Severity
High
CVSS
7.3 (3.0)
Published
2017-10-19
CISA KEV
Not currently listed
Ecosystem
software/application

Affected products

  • oracle / solaris_cluster / 3.3
  • oracle / solaris_cluster / 4.3

Matched remediation archetype

Resource exhaustion and denial of service

This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.

Check exposure

  • Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
  • Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
  • Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.

Remediate safely

  • Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
  • Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
  • Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.

Authoritative sources

Complete CVE record and remediation plan

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