Table of Contents
Mein Blog
Security issues on satellites
Satellites Are Leaking Your Calls, Texts, & Browsing Habits
This video explores a recent research project that uncovered serious privacy vulnerabilities in satellite communications.
Overview
Up to *50% of satellite network traffic is unencrypted*, meaning it can be intercepted and read by anyone with the right tools. This includes sensitive data like phone calls, text messages, and internet activity.
Key Findings
- Many satellite internet providers do not encrypt traffic by default.
- Researchers used inexpensive equipment (under $300) to capture live satellite data.
- They were able to access:
- Personal messages
- GPS coordinates
- Web browsing sessions
- Corporate data transfers
Technical Details
- The team used a satellite dish, SDR (Software Defined Radio), and open-source decoding tools.
- No hacking was involved — the data was simply broadcast in the clear.
- The vulnerability affects geostationary satellites used for maritime, aviation, and remote internet access.
Implications
- Anyone with basic technical knowledge can eavesdrop on satellite traffic.
- This poses risks for journalists, remote workers, and companies using satellite links.
- Encryption should be mandatory for all satellite communications.
Windows running in a docker container
This video by Wolfgang demonstrates how to run a Windows operating system inside a Docker container — a creative and unconventional technical experiment.
Overview
Wolfgang explores whether it's possible to launch a full Windows environment within a Linux-based Docker container. Since Docker is primarily designed for Linux containers, this setup is more of a proof-of-concept than a practical solution.
Key Components
- Uses the unofficial `dockur/windows` image by Kroese
- Based on a modified Windows PE (Preinstallation Environment)
- Virtualization handled via QEMU
- GUI access provided through VNC (Remote Desktop)
Performance and Limitations
- Limited performance due to emulation
- Not suitable for production use
- Best used for experimentation or educational purposes
Conclusion
Running Windows in Docker is a fascinating hack that showcases Docker’s flexibility. While not practical for everyday use, it’s a fun and educational project for developers and tech enthusiasts.
Are virtual worlds dead?
Sno is looking into metaverses from 1995 to 2025. I did not even know of most of them. He even mentions SecondLife but he mentions “all” the players created worlds… and I cringed a bit. But as a noob one really seems to think so. Thanks he does not say its abandoned.
Responsible Use of Artificial Intelligence
Artificial Intelligence (AI) is already part of our daily lives – from search engines and image generation to automated workflows. But with great power comes great responsibility. This post explores how we can use AI consciously, ethically, and inclusively – especially in open, creative communities.
1. Transparency over Magic
AI often feels like a magical tool. But behind every result are training data, algorithms, and human decisions. Anyone using AI should be transparent about:
- What tools and models are being used
- What data is processed or stored
- What limitations and uncertainties exist
→ Example: In a DokuWiki article about image generation, a note on the platform used and its policies builds trust.
2. Fairness and Inclusion
AI can reinforce existing biases – especially through unbalanced training data. That’s why it’s important to:
- Promote diversity in examples and test cases
- Critically examine discriminatory or stereotypical outputs
- Gather feedback from different perspectives
→ Tip: Use inclusive language and diverse examples in community documentation.
3. Creativity with Responsibility
AI can enrich creative processes – from designing icons to writing texts or animations. But even here:
- Respect copyright (e.g. training data or stylistic references)
- Don’t present AI-generated results as human-made
- Encourage remixability and proper attribution
→ Idea: Add a section in your DokuWiki about “AI-generated assets” with clear licensing and remix guidelines.
4. Protecting Privacy and Data
Especially with personalized AI tools, caution is key:
- Don’t process sensitive data without consent
- Prefer local over cloud-based solutions when possible
- Inform users about their rights
→ Example: A DokuWiki tutorial on local AI usage (e.g. with open-source models) can offer safer alternatives.
5. Reflection and Community Dialogue
AI is not a finished topic – it evolves constantly. That’s why it helps to:
- Share updates and discussions within the community
- Document experiences, mistakes, and learnings
- Make open questions and ethical dilemmas visible
→ Suggestion: Use a blog plugin to publish posts like this regularly and invite discussion.
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Conclusion: AI is a powerful tool – but not a self-running one. Using it responsibly leads to better results, builds trust, and fosters inclusion. In open documentation projects like DokuWiki, that’s especially valuable.
Linux Has Finally Arrived for Everyone
It took a while, but Linux has finally reached a level of usability that makes it accessible to everyone.
One of the biggest hurdles has always been game compatibility. But thanks to Steam Proton, that issue is largely resolved. Nearly every game I've tested runs smoothly. Only a few exceptions remain, mostly certain online titles.
Hardware support is no longer a major concern either. Sure, there are still occasional quirks to work around, but solutions exist for almost everything. Most applications now have solid — or even superior — alternatives available on Linux distributions.
Now it's up to software vendors to realign their course and make their programs compatible. In many cases, it's not even a significant challenge. And even when native support isn't available, many programs still run well via VirtualBox, Winboat, or simply through .NET.
Linux is no longer just for enthusiasts — it's ready for the mainstream.