HIGH ssrf server sideflask

Ssrf Server Side in Flask

How SSRF Manifests in Flask

Server-Side Request Forgery (SSRF) in Flask applications typically occurs when user input is used to construct URLs for internal requests without proper validation. Flask's simplicity and flexibility make it particularly vulnerable to SSRF when developers use requests, urllib, or similar libraries to fetch external resources based on user input.

A common Flask SSRF pattern appears in webhook handlers:

from flask import Flask, request
import requests

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def webhook():
    data = request.json
    url = data['callback_url']
    response = requests.get(url)  # SSRF vulnerability
    return {'status': 'success'}

This code allows an attacker to make the Flask application request any URL, including internal services. The vulnerability becomes severe when Flask apps run on cloud platforms where internal metadata services are accessible at predictable addresses like http://169.254.169.254 (AWS) or http://metadata.google.internal (GCP).

Flask-specific SSRF scenarios often involve:

  • Proxy endpoints that fetch remote content for display
  • API integration endpoints that call third-party services
  • Health check endpoints that query internal services
  • Image processing endpoints that download files from URLs

The danger escalates when Flask applications run in containerized environments where internal services communicate over private networks, making the SSRF attack surface much larger than the exposed API endpoints suggest.

Flask-Specific Detection

Detecting SSRF in Flask requires examining both the code patterns and runtime behavior. Code analysis should focus on endpoints that accept URLs and use HTTP clients. Look for patterns where request.args, request.form, or request.json data flows directly into URL parameters for requests.get(), urllib.request.urlopen(), or similar functions.

middleBrick's black-box scanning approach is particularly effective for Flask applications because it tests the actual running service without requiring source code access. The scanner attempts SSRF payloads against all endpoints, checking for:

  • External URL requests that return unexpected content
  • Internal metadata service access (AWS, GCP, Azure)
  • Localhost and private IP address requests
  • Port scanning behavior (attempting common service ports)

For Flask applications, middleBrick's Inventory Management check is crucial as it maps the API surface and identifies endpoints that accept URL parameters. The scanner tests these endpoints with SSRF payloads like:

http://169.254.169.254/latest/meta-data/
http://localhost:22
http://127.0.0.1:3306
http://192.168.1.1

The Encryption check also helps detect SSRF by verifying whether the application properly validates SSL certificates when making external requests, which is often bypassed in SSRF attacks.

Flask-Specific Remediation

Flask applications can implement several defense layers against SSRF. The most effective approach combines input validation, allowlisting, and safe HTTP client configuration.

Input validation should be the first line of defense:

from flask import Flask, request, abort
import requests
from urllib.parse import urlparse

app = Flask(__name__)

# Allowlist of permitted domains
ALLOWED_DOMAINS = {'api.example.com', 'images.example.com'}

def validate_url(url):
    try:
        result = urlparse(url)
        if not all([result.scheme, result.netloc]):
            return False
        
        # Block private IP ranges and localhost
        if result.hostname in {'localhost', '127.0.0.1'}:
            return False
        
        # Check for private IP ranges using ipaddress module
        import ipaddress
        try:
            ip = ipaddress.ip_address(result.hostname)
            if ip.is_private or ip.is_loopback:
                return False
        except ValueError:
            pass  # Not an IP address, could be a domain
        
        return True
    except Exception:
        return False

@app.route('/fetch', methods=['GET'])
def fetch_content():
    url = request.args.get('url', '')
    
    if not validate_url(url):
        abort(400, 'Invalid URL')
    
    # Additional allowlist check
    if not any(domain in url for domain in ALLOWED_DOMAINS):
        abort(403, 'Domain not allowed')
    
    try:
        response = requests.get(url, timeout=5, allow_redirects=True)
        response.raise_for_status()
        return {'content': response.text}
    except requests.RequestException:
        abort(500, 'Failed to fetch content')

For Flask applications using Flask-RESTful or similar frameworks, create a custom URL field with validation:

from flask_restful import Resource, reqparse

parser = reqparse.RequestParser()
parser.add_argument('url', type=lambda x: x if validate_url(x) else None, required=True)

class ContentFetcher(Resource):
    def get(self):
        args = parser.parse_args()
        url = args['url']
        
        if url is None:
            return {'message': 'Invalid URL'}, 400
        
        response = requests.get(url, timeout=5)
        return {'content': response.text}

The requests library can be configured to help prevent SSRF:

response = requests.get(url, timeout=5, 
                       allow_redirects=False,  # Prevent redirect-based SSRF
                       verify=True)  # Ensure SSL validation

For Flask applications that must fetch remote content, consider using a dedicated microservice with network restrictions, or implement a proxy that validates and sanitizes requests before forwarding them.

Frequently Asked Questions

How does middleBrick detect SSRF in my Flask API?
middleBrick performs black-box scanning by sending SSRF payloads to your Flask endpoints without requiring source code access. It tests for common SSRF patterns like metadata service access, localhost requests, and private IP address connections. The scanner runs 12 parallel security checks including Inventory Management to identify endpoints that accept URLs, then actively tests these with SSRF payloads. Results show which endpoints are vulnerable, the specific payloads that succeeded, and provide remediation guidance mapped to OWASP API Top 10 standards.
Can SSRF in Flask lead to data exfiltration?
Yes, SSRF in Flask can lead to data exfiltration when the application makes requests to internal services and returns the responses to the attacker. For example, if a Flask endpoint fetches content from a URL and returns it in the response, an attacker can use SSRF to access internal APIs, database admin interfaces, or cloud metadata services. The risk is particularly high in cloud environments where metadata services contain sensitive credentials. middleBrick's LLM/AI Security checks also detect if your Flask app has unauthenticated LLM endpoints that could be exploited for data exfiltration through prompt injection.