[Snyk] Security upgrade python from 3.6 to 3.13.11

[LowinLi]

Snyk has created this PR to fix 3 vulnerabilities in the dockerfile dependencies of this project.

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Snyk changed the following file(s):

• dockerfile

We recommend upgrading to python:3.13.11, as this image has only 189 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Vulnerabilities that will be fixed with an upgrade:

	Issue	Score
	CVE-2025-27363 SNYK-DEBIAN11-FREETYPE-9402510	829
	CVE-2025-27363 SNYK-DEBIAN11-FREETYPE-9402510	829
	CVE-2025-27363 SNYK-DEBIAN11-FREETYPE-9402510	829
	Out-of-bounds Write SNYK-DEBIAN11-GLIBC-5927133	829
	CVE-2023-44487 SNYK-DEBIAN11-NGHTTP2-5953384	829

---

Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.

---

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Out-of-bounds Write

[Copilot]

Pull request overview

This PR upgrades the Python base image from 3.6 to 3.13.11 to address security vulnerabilities including CVE-2025-27363, Out-of-bounds Write, and CVE-2023-44487, which collectively have high severity scores.

Key Changes:

• Updates Docker base image from python:3.6 to python:3.13.11

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[Copilot]

The dependencies specified in requirements.txt and requirements-web.txt are incompatible with Python 3.13.11. The project uses torch==1.5.0, tensorflow==2.2.1, flask==1.0.2, numpy==1.18.4, and other packages with versions from 2020, which were built for Python 3.6-3.8. These packages will fail to install or run on Python 3.13.11 because:

1. PyTorch 1.5.0 only supports up to Python 3.8
2. TensorFlow 2.2.1 only supports up to Python 3.8
3. NumPy 1.18.4 does not have wheels for Python 3.13
4. Flask 1.0.2 may have compatibility issues with Python 3.13

Before upgrading to Python 3.13.11, the requirements files must be updated to versions compatible with Python 3.13. Consider upgrading to an intermediate Python version (e.g., 3.9 or 3.10) first, or update all dependencies simultaneously.

Suggested change

	FROM python:3.13.11
	FROM python:3.8