Ensure your WSGI server is deployed behind a dedicated reverse proxy like or Apache . A reverse proxy sanitizes incoming HTTP requests, strips out malformed chunked encoding, and drops invalid headers before they ever reach Python. 3. Implement a Web Application Firewall (WAF)
When wsgiserver 02 parses HTTP headers, it converts headers like X-Forwarded-For into WSGI environment variables like HTTP_X_FORWARDED_FOR .
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To help provide the most accurate remediation advice, please let me know: wsgiserver 02 cpython 3104 exploit
Migrate to a robust, production-grade WSGI server such as Gunicorn , uWSGI , or Cheroot (latest version). Ensure that the HTTP parser is configured to reject malformed headers, duplicate Transfer-Encoding values, or requests exceeding strict size limits. 3. Implement a Web Application Firewall (WAF)
The WSGI server interprets the request differently than a frontend proxy, allowing the attacker to "smuggle" a second request inside the first one. This can lead to unauthorized access or cache poisoning. Remote Code Execution (RCE) via Unsafe Deserialization
WSGI (Web Server Gateway Interface) is a specification that defines a common interface between web servers and Python web applications. WSGI Server, also known as wsgiserver , is a reference implementation of the WSGI specification. It's a Python package that provides a simple web server that can run WSGI-compliant applications. Ensure your WSGI server is deployed behind a
If the underlying infrastructure cannot be immediately upgraded, place a robust reverse proxy like Nginx or an Apache HTTP Server in front of the WSGI application. Configure the proxy to:
Whether this application is deployed via or directly on a virtual machine ?
This rating is among the most severe possible, indicating that attackers can compromise the system completely without any user interaction or prior authentication. Implement a Web Application Firewall (WAF) When wsgiserver
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If the WSGI application parses cookies unsafely using an older Python 3.10.4 library, an attacker extracts system files using a serialized object: