vuln_exploitability_forecast
As a CTO, assess the exploitability risk of CVEs using EPSS scores and cloud asset exposure data. Input a CVE ID (e.g., CVE-2021-44228) to receive exploitability likelihood, affected cloud services, and threat intelligence context. Returns structured risk metrics for prioritization. Sources: CVE ...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/vuln-exploitability-forecast.md
What vuln_exploitability_forecast does on Mcp Knowledge
AI agents call vuln_exploitability_forecast to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
cveId | string | Yes | |
cloudProvider | string | — | |
includeDetails | boolean | — |
Parameters from the server's own tool schema.
Why vuln_exploitability_forecast is rated Low
The tool retrieves and analyzes publicly available vulnerability data (CVE records, EPSS scores, cloud asset exposure) and returns structured risk metrics. It does not modify, execute, or delete anything — it is a read/query operation.
From the tool's definition assess the exploitability risk of CVEs using EPSS scores and cloud asset exposure data... Returns structured risk metrics for prioritization. Sources: CVE NVD, OpenCVE, GitHub Advisories.
Attacks that exploit this kind of access
The rule that runs vuln_exploitability_forecast safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vuln_exploitability_forecast, this is the rule to start with:
vuln_exploitability_forecast is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every vuln_exploitability_forecast call is checked against it from then on.
Questions about vuln_exploitability_forecast
As a CTO, assess the exploitability risk of CVEs using EPSS scores and cloud asset exposure data. Input a CVE ID (e.g., CVE-2021-44228) to receive exploitability likelihood, affected cloud services, and threat intelligence context. Returns structured risk metrics for prioritization. Sources: CVE NVD, OpenCVE, GitHub Advisories. Pass async:true to avoid timeout. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
vuln_exploitability_forecast accepts 4 parameters: async, cveId, cloudProvider, includeDetails. Required: cveId. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for vuln_exploitability_forecast: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
vuln_exploitability_forecast is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the vuln_exploitability_forecast rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for vuln_exploitability_forecast. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
vuln_exploitability_forecast is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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