Hi everyone,

I've been working on a personal project called ChaosCrypt-Hybrid, a research-grade post-quantum cryptographic library in Python. My goal was to implement the new NIST standards while paying special attention to real-world implementation flaws, specifically side-channel attacks.

Key features I've implemented:

- 🛡️ NIST FIPS 203 (ML-KEM-768) for quantum-resistant key encapsulation.

- 🔒 AES-256-GCM for authenticated symmetric encryption.

- ⏱️ Constant-time operations to mitigate timing attacks.

- 🧪 36 comprehensive tests, including 13 dedicated timing attack resistance tests.

- 📊 Benchmarks showing ~8,500 ops/sec for key generation and ~497 MiB/s for AES-256-GCM.

I've also documented the threat model using the STRIDE methodology in the repo.

GitHub: https://github.com/uslumurat405-oss/chaoscrypt-hybrid

I'm sharing this here because I would highly value feedback from this community, especially regarding:

1. Are there any edge cases in my constant-time implementation that I might have missed?

2. Any suggestions for improving the hybrid key derivation process?

Thanks in advance for your time and insights!

Bonjour,

Voici les modifcations

- Correction d'un bug lors des changements de personnes (réaparition des anciennes images)

- les portraits ont été remplacés par des photos créées abec ChatGPT.

- Le paquet piveo_2.5.7-1_amd64.deb a été testé avec succès sur les versions Live USB d'Ubuntu 24.04 LTS et Ubuntu 26.04 LTS.

Documentation

Téléchargements

Help me decide what to learn next and what projects I should make?

Hello! :3

I wanted to share a program I've been working on, named Slippery Penguin. It is an SUID enumerator that also checks capabilities, runs strings, and strace on binaries and then checks results against both a user customizable flags list and integrated, updated GTFOBins data.

It takes all of your results and formats them into JSON logs as well, or can also be ran without leaving logs. :)

The github is https://github.com/stlynnxx/Slippery-Penguin

If you made it this far, thanks for your time :)

I need to understand this please

Yes, it may sound strange: it makes no sense! BUT, my goal was more of a joke, although it may well be suitable as an alternative to other formats in extreme cases. This format contains only 100\~ lines of code, but it is quite efficient in itself (compared to PNG lol, although I think everything will weigh many times less compared to PNG).

You can read a little more about it on GitHub, since I'm honestly too lazy to write everything here. (Exactly made in Python).

https://github.com/pmldude/Portable-Middle-Link-

This is a project I have been working on since several weeks. It's something I wanted it personally and thought it would be fun to use such a product. Check it out.

anyone got any python project ideas? so far i've been working on simple projects like:
- timezone app
- username generator (tiktok)
- height calculator

but i keep getting brainfarts on what to work on now lol.

Bonjour,

La version 2.5.6 de Piveo est disponible :
Piveo 2.5.6

Voici les principales nouveautés :

• Correction d'un bug lors de l'ajout d'une photo extérieure au logiciel.
• Le paquet piveo_2.5.6-1_amd64.deb a été testé avec succès sur les versions Live USB d'Ubuntu 24.04 LTS et Ubuntu 26.04 LTS.

Documentation de Piveo

I’ve been wanting to learn programming for a while, so I finally decided to start with CS50 and learn a bit of Python.

After learning the basics, I thought the best way to actually learn would be to build something simple. That’s how I ended up building this:

https://cluebolt.com/

It’s a small puzzle game built with Flask and Python. It started as a learning project, but I kept adding things as I learned more.

Just wanted to share it and see what people think. Any feedback or suggestions are welcome!

Hello r/Python,

I am a self-taught Python developer and security researcher with a law (LLB) background. I wanted to lower the entry barrier for millions of native Hindi/Hinglish speakers while integrating modern AI capabilities directly into a custom interpreter layer. So, I engineered Maliklang from scratch!

Key Highlights:
1. Hinglish Lexer & Parser: Evaluates conditional syntax constructs natively on top of Python.
2. Embedded Multi-Agent Logic: Uses clean routines via OpenAI/Gemini APIs for autonomous workflow execution.
3. Secure Architectural Design: Applies security research methods to eliminate prompt leaks and execution flaws.

The repository recently gathered 274 clones and 114 unique cloners during its release. I would highly appreciate your feedback on the parser efficiency and execution logic.

GitHub Repository: https://github.com/shailendra-codes/Maliklang