# ๐Ÿ›ก๏ธ CISA KEV + EPSS Vulnerability Intelligence Tracker (`nexgendata/cisa-kev-vulnerability-intelligence`) Actor - **URL**: https://apify.com/nexgendata/cisa-kev-vulnerability-intelligence.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $120.00 / 1,000 enriched cves This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## CISA KEV + EPSS Vulnerability Intelligence Tracker A focused utility for developers and agents. ### โฐ Schedule it Run on a schedule (`0 8 * * 1`) to monitor changes over time โ€” an always-on CVE watch. ### ๐Ÿ“Š What you get Clean JSON output (20 fields): - `cveID` โ€” Cve ID - `vendor` โ€” Vendor - `product` โ€” Product - `vulnerability_name` โ€” Vulnerability name - `kev_added_date` โ€” Kev added date - `due_date` โ€” Due date - `required_action` โ€” Required action - `short_description` โ€” Short description **Pricing:** $0.120 per CVE (Pay-Per-Event) โ€” about **8 CVEs per $1**. ### ๐Ÿค– Use with AI agents Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it. **Sample agent prompt:** ```` Run CISA KEV + EPSS Vulnerability Intelligence Tracker on my input and return the structured results. ```` **Agentic payments (x402):** Supports agentic payment via x402 โ€” call this actor with USDC, no API key required. ### ๐Ÿ”— Related tools โ€” Security audit toolkit [SSL Checker](https://apify.com/nexgendata/ssl-certificate-checker) ยท [DMARC Auditor](https://apify.com/nexgendata/email-dmarc-auditor) ยท [Domain Security Posture](https://apify.com/nexgendata/domain-security-posture-checker) ยท [CVE Monitor](https://apify.com/nexgendata/cve-vulnerability-monitor) ยท [Dependency Advisories](https://apify.com/nexgendata/dependency-advisory-monitor) ยท [Chrome Extension Analyzer](https://apify.com/nexgendata/chrome-extension-security-analyzer) *This actor is currently private โ€” treated and ready for review.* --- *A NexGenData utility actor.* # Actor input Schema ## `vendor_filter` (type: `string`): Substring match on the CISA KEV vendorProject field (case-insensitive). Examples: 'microsoft', 'cisco', 'fortinet'. Leave empty to include every vendor in the KEV catalog window. ## `min_epss_score` (type: `string`): Filter CVEs whose EPSS exploit-probability score is below this threshold (parsed as a float in [0,1]). EPSS โ‰ฅ 0.5 typically flags vulnerabilities with elevated near-term exploitation risk; โ‰ฅ 0.9 flags critical/imminent. Use 0 to keep every CVE regardless of EPSS. ## `days_back` (type: `integer`): How many days back from today to include CISA KEV catalog additions. Default 30 captures the freshest entries (typical triage window). Max 365. ## `max_cves` (type: `integer`): Hard cap on the number of CVEs to enrich and push to the dataset (KEV records are sorted newest-first before the cap). Each enriched CVE is a billable record. Range 1-2000. ## Actor input object example ```json { "min_epss_score": "0.5", "days_back": 30, "max_cves": 100 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "vendor_filter": "", "min_epss_score": "0.5", "days_back": 30, "max_cves": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/cisa-kev-vulnerability-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "vendor_filter": "", "min_epss_score": "0.5", "days_back": 30, "max_cves": 100, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/cisa-kev-vulnerability-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "vendor_filter": "", "min_epss_score": "0.5", "days_back": 30, "max_cves": 100 }' | apify call nexgendata/cisa-kev-vulnerability-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/cisa-kev-vulnerability-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿ›ก๏ธ CISA KEV + EPSS Vulnerability Intelligence Tracker", "version": "0.0", "x-build-id": "vQ3IZJt8iCzoN5FlN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~cisa-kev-vulnerability-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-cisa-kev-vulnerability-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~cisa-kev-vulnerability-intelligence/runs": { "post": { "operationId": "runs-sync-nexgendata-cisa-kev-vulnerability-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~cisa-kev-vulnerability-intelligence/run-sync": { "post": { "operationId": "run-sync-nexgendata-cisa-kev-vulnerability-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "vendor_filter": { "title": "Vendor filter (optional)", "type": "string", "description": "Substring match on the CISA KEV vendorProject field (case-insensitive). Examples: 'microsoft', 'cisco', 'fortinet'. Leave empty to include every vendor in the KEV catalog window." }, "min_epss_score": { "title": "Minimum EPSS score (0-1)", "pattern": "^(0(\\.[0-9]+)?|1(\\.0+)?)$", "type": "string", "description": "Filter CVEs whose EPSS exploit-probability score is below this threshold (parsed as a float in [0,1]). EPSS โ‰ฅ 0.5 typically flags vulnerabilities with elevated near-term exploitation risk; โ‰ฅ 0.9 flags critical/imminent. Use 0 to keep every CVE regardless of EPSS.", "default": "0.0" }, "days_back": { "title": "Days back (KEV addition window)", "minimum": 1, "maximum": 365, "type": "integer", "description": "How many days back from today to include CISA KEV catalog additions. Default 30 captures the freshest entries (typical triage window). Max 365.", "default": 30 }, "max_cves": { "title": "Maximum CVEs to enrich", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on the number of CVEs to enrich and push to the dataset (KEV records are sorted newest-first before the cap). Each enriched CVE is a billable record. Range 1-2000.", "default": 200 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```