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Python-SGX

Python-SGX: Execute Python applications in the safest Confidential Compute runtime

packed by enclaive

#intelsgx #confidentialcompute #python
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docker pull enclaive/python-sgx
docker-compose up -d

Warning: This quick setup is only intended for development environments. You are encouraged to change the insecure default credentials and check out the available configuration options in the build section for a more secure deployment.

Python is a dynamically-typed garbage-collected programming language developed by Guido van Rossum in the late 80s to replace ABC. Much like the programming language Ruby, Python was designed to be easily read by programmers. Because of its large following and many libraries, Python can be implemented and used to do anything from webpages to scientific research.

Overview of Python

Intel Security Guard Extension (SGX) delivers advanced hardware and RAM security encryption features, so called enclaves, in order to isolate code and data that are specific to each application. When data and application code run in an enclave additional security, privacy and trust guarantees are given, making the container an ideal choice for (untrusted) cloud environments.

Overview of Intel SGX

Application code executing within an Intel SGX enclave:

• Remains protected even when the BIOS, VMM, OS, and drivers are compromised, implying that an attacker with full execution control over the platform can be kept at bay
• Benefits from memory protections that thwart memory bus snooping, memory tampering and “cold boot” attacks on images retained in RAM
• At no moment in time data, program code and protocol messages are leaked or de-anonymized
• Reduces the trusted computing base of its parent application to the smallest possible footprint

Following benefits come for free with Python-SGX :

• Protect Python code, files, applications, services, APIs, (AI) models against intelectual property theft/violation irrespectively where the application runs thanks to full fledge memory container encryption and integrity protection at runtime
• Shield container application against container escape attacks with hardware-graded security against kernel-space exploits, malicious and accidental privilege insider attacks, UEFI firmware exploits and other "root" attacks using the corruption of the application to infiltrate your network and system
• Build and deploy Python application as usual while inheriting literally for free security and privacy through containerization including
  • strictly better TOMs (technical and organizatorial measures)
  • privacy export regulations compliant deployment anywhere, such as Schrems-II
  • GDPR/CCPA compliant processing ("data in use") of user data (in the cloud) as data is relatively anonymized thanks to the enclave

The following cloud infrastractures are SGX-ready out of the box

• Microsoft Azure Confidential Cloud
• OVH Cloud
• Alibaba Cloud
• Kraud Cloud

Confidential compute is a fast growing space. Cloud providers continiously add confidential compute capabilities to their portfolio. Please contact us if the infrastracture provider of your preferred choice is missing.

Check for Intel Security Guard Extension (SGX) presence by running the following

grep sgx /proc/cpuinfo

Alternatively have a thorough look at Intel's processor list. (We remark that macbooks with CPUs transitioned to Intel are unlikely supported. If you find a configuration, please contact us know.)

Note that in addition to SGX the hardware module must support FSGSBASE. FSGSBASE is an architecture extension that allows applications to directly write to the FS and GS segment registers. This allows fast switching to different threads in user applications, as well as providing an additional address register for application use. If your kernel version is 5.9 or higher, then the FSGSBASE feature is already supported and you can skip this step.

There are several options to proceed

• If: No SGX-ready hardware
  Azure Confidential Compute cloud offers VMs with SGX support. Prices are fair and have been recently reduced to support the developer community. First-time users get $200 USD free credit. Other cloud provider like OVH or Alibaba cloud have similar offerings.

• Elif: Virtualization
  Ubuntu 21.04 (Kernel 5.11) provides the driver off-the-shelf. Read the release. Go to download page.

• Elif: Kernel 5.9 or higher
  Install the DCAP drivers from the Intel SGX repo

  sudo apt update
  sudo apt -y install dkms
  wget https://download.01.org/intel-sgx/sgx-linux/2.13.3/linux/distro/ubuntu20.04-server/sgx_linux_x64_driver_1.41.bin -O sgx_linux_x64_driver.bin
  chmod +x sgx_linux_x64_driver.bin
  sudo ./sgx_linux_x64_driver.bin
  
  sudo apt -y install clang-10 libssl-dev gdb libsgx-enclave-common libsgx-quote-ex libprotobuf17 libsgx-dcap-ql libsgx-dcap-ql-dev az-dcap-client open-enclave

• Else: Kernel older than version 5.9
  Upgrade to Kernel 5.11 or higher. Follow the instructions here.

Install the docker engine

 sudo apt-get update
 sudo apt-get install docker-ce docker-ce-cli containerd.io
 sudo usermod -aG docker $USER    # manage docker as non-root user (obsolete as of docker 19.3) 

Use docker run hello-world to check if you can run docker (without sudo).

The recommended way to get the enclaive Python-SGX Open Source Docker Image is to pull the prebuilt image from the Docker Hub Registry.

docker pull enclaive/python-sgx:latest

To use a specific version, you can pull a versioned tag. You can view the list of available versions in the Docker Hub Registry.

docker pull enclaive/python-sgx:[TAG]

If you wish, you can also build the image yourself.

docker build -t enclaive/python-sgx:latest 'https://github.com/enclaive/enclaive-docker-python-sgx.git#master'

Add to folder /app/ the pyhton project.

Run docker-compose up -d to start the enclaved python application.

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Don't forget to give the project a star! Spread the word on social media! Thanks again!

Distributed under the Apache 2.0 License. See LICENSE for further information.

enclaive.io - @enclaive_io - [email protected] - https://enclaive.io

This project greatly celebrates all contributions from the gramine team. Special shout out to Dmitrii Kuvaiskii from Intel for his support.

• Gramine Project
• Intel SGX
• Python

This software listing is packaged by enclaive.io. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.