# GitHub Security Advisories (GHSA) by Ecosystem (`v0iddo/github-security-advisories`) Actor

For each ecosystem (NPM, PIP, MAVEN, NUGET, RUBYGEMS, RUST, GO, ACTIONS, SWIFT, …), pull recent GitHub Security Advisories via GraphQL. One row per advisory: severity, CVE/CWE mapping, affected packages, version ranges, fix versions. For AppSec + supply-chain auditors.

- **URL**: https://apify.com/v0iddo/github-security-advisories.md
- **Developed by:** [vøiddo](https://apify.com/v0iddo) (community)
- **Categories:** Business, News
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 github security advisory extracteds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## GitHub Security Advisories (GHSA) by Ecosystem

Pull recent GitHub Security Advisories — the curated CVE-plus
ecosystem mapping behind `github.com/advisories` — as a paginated,
date-filtered dataset. One row per advisory, with affected packages
and fix versions in structured form.

### What you get

```
{
  "ghsaId":       "GHSA-rrqh-7r3p-mvf9",
  "summary":      "Cross-site scripting in react-markdown when using…",
  "description":  "react-markdown < 9.0.1 renders untrusted user…",
  "severity":     "HIGH",
  "classification": "GENERAL",
  "publishedAt":  "2026-05-30T20:14:00Z",
  "updatedAt":    "2026-05-31T11:02:00Z",
  "withdrawnAt":  null,
  "url":          "https://github.com/advisories/GHSA-rrqh-7r3p-mvf9",
  "cves":         ["CVE-2026-12345"],
  "references":   ["https://nvd.nist.gov/vuln/detail/CVE-2026-12345",
                   "https://github.com/remarkjs/react-markdown/security/%E2%80%A6"],
  "cwes": [
    {"cweId": "CWE-79", "name": "Improper Neutralization of Input…"}
  ],
  "affected": [
    {
      "ecosystem":            "NPM",
      "package":              "react-markdown",
      "vulnerableRange":      "< 9.0.1",
      "firstPatchedVersion":  "9.0.1"
    }
  ],
  "queryEcosystem": "NPM"
}
```

### How to use

**Input.**

```json
{
  "ecosystems":       ["NPM", "PIP", "MAVEN"],
  "sinceDays":        7,
  "maxPerEcosystem":  500,
  "githubToken":      ""
}
```

`ecosystems` — one of `NPM`, `PIP`, `MAVEN`, `COMPOSER`, `NUGET`,
`RUBYGEMS`, `RUST`, `GO`, `PUB`, `ERLANG`, `ACTIONS`, `SWIFT`, or
`ALL` to skip the ecosystem filter.

`githubToken` — optional. Without it, GitHub limits anonymous GraphQL
to 60 req/h (fine for one ecosystem with `maxPerEcosystem ≤ 500`). With
a token: 5 000 req/h. **A classic PAT with no scopes works** — the
`securityAdvisories` endpoint is public.

### Why this matters

`github.com/advisories` is the canonical curated CVE→ecosystem mapping
used by Dependabot, Renovate, Snyk's free tier, and most other supply-
chain tools. The GraphQL endpoint exposes the same data behind a tidy
schema; this actor packages it into a daily feed you can ship into
JIRA, Slack, or a custom dashboard.

### Pricing

PAY\_PER\_EVENT · `$0.002 per advisory_extracted` · 500 advisories = $1.

### Buyer

- AppSec / Product Security teams.
- DevOps building custom dep-pin policies (Renovate / Dependabot
  consumers wanting their own categorization).
- Supply-chain auditors snapshotting weekly delta.
- Insurance / compliance dashboards.

### Source

GitHub GraphQL `securityAdvisories` — same source as `gh advisories`
CLI and the web UI. Filter: `publishedSince` for the date window;
`ecosystem` enum for the ecosystem filter; per-advisory `vulnerabilities`
filtered to the same ecosystem so the `affected` list is clean.

# Actor input Schema

## `ecosystems` (type: `array`):

Which ecosystems to pull advisories for. Each ecosystem is a separate API page; the actor pages through all results within the date window. Valid: NPM, PIP, MAVEN, COMPOSER, NUGET, RUBYGEMS, RUST, GO, PUB, ERLANG, ACTIONS, SWIFT, or ALL (pull every advisory regardless).

## `sinceDays` (type: `integer`):

Pull advisories published in the last N days. GitHub filters server-side; even a 1-day window is fast.

## `maxResults` (type: `integer`):

Hard cap on emitted rows. When you pass multiple ecosystems, the actor emits one row per (advisory × ecosystem) pair, so a single advisory affecting NPM + PIP counts as two rows.

## `githubToken` (type: `string`):

Personal Access Token. WITHOUT a token: anonymous 60 req/h limit shared across all Apify users on the same outbound IP — your run will almost certainly return 0 rows. WITH a token: 5 000 req/h. A classic PAT with no scopes works (the GraphQL securityAdvisories endpoint is public; auth just lifts the rate limit). Recommend creating a token at https://github.com/settings/tokens with NO scopes selected and pasting it here.

## Actor input object example

```json
{
  "ecosystems": [
    "NPM",
    "PIP"
  ],
  "sinceDays": 7,
  "maxResults": 500
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "ecosystems": [
        "NPM",
        "PIP"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("v0iddo/github-security-advisories").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});

// 📚 Want to learn more 📖? Go to → 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "ecosystems": [
        "NPM",
        "PIP",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("v0iddo/github-security-advisories").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "ecosystems": [
    "NPM",
    "PIP"
  ]
}' |
apify call v0iddo/github-security-advisories --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,v0iddo/github-security-advisories"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RnfvWOgknwWn4cmcg/builds/jTe1aTqLwKclmBhK7/openapi.json