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Security audit

Oracle OKE Hardening

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward external API wrapper for generating Oracle OKE hardening configuration files, with privacy and scoping caveats users should review.

Before installing, confirm you are comfortable sending OKE hardening selections, a required sessionId, timestamp, and optional userId to the provider's external API. Treat generated Kubernetes security configuration as advisory output and review it before applying it to a real cluster.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (5)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The sample request includes sessionId, userId, and timestamp, which are tracking and potentially identifying fields, but the skill provides no warning about collection, minimization, retention, or secure transmission of that data. In a multi-tenant or externally hosted API context, this can lead to unnecessary disclosure of user-linked metadata to third parties and weakens privacy and audit controls.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
89% confidence
Finding

The skill references an external API endpoint, meaning requests and any included metadata may be transmitted outside the local trust boundary. External transmission is not inherently malicious, but in this skill it becomes more sensitive because the API accepts session and optional user identifiers and the documentation does not state trust, validation, or data-protection guarantees for the remote service.

Content

Scanner excerpt · SKILL.md (reported line 169)May include surrounding context.

md
## References

- **Kong Route**: https://api.mkkpro.com/hardening/oracle-oke
- **API Docs**: https://api.mkkpro.com:8148/docs

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The OpenAPI schema shows collection/transmission of sessionId, userId, and timestamp in the request body, which are user or system identifiers. The file does not include any description warning that these identifiers are transmitted or explain their purpose, creating a missing-disclosure issue for data-affecting behavior.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
85% confidence
Finding

This markdown file describes what the tool does and who it is for, but it does not specify how or when the skill should be invoked, nor does it provide negative examples or scope constraints. In skill-dispatch contexts, that lack of trigger specificity can cause the tool to be selected for loosely related security or Kubernetes requests.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
82% confidence
Finding

This is a manifest-style file, so vague-trigger checks apply. The endpoint is described only as generating OKE hardening configuration files, without any narrowing language about when it should or should not be invoked, acceptable contexts, or negative examples, which can make automated invocation overly broad.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.