this post was submitted on 11 Jun 2023
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Research

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/r/netsec's branch in the fediverse.

A community-curated aggregator of technical research. Our mission is to extract signal from the noise.

Only post technical content here. New tools (and major releases of existing ones), novel techniques, deep dives and post mortems are the ideal content. CTF and bug bounty writeups could be acceptable if they showcase lesser known approaches or techniques.

Non-technical content (both beginner and CISO level) will be considered spam.

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If you're working on a research or side project, this is your platform to share your findings, roadblocks, breakthroughs, and more. Doesn't matter if it's still a work in progress or has been recently published - all stages of research are welcome.

Maybe you're not actively researching, but you're closely following an interesting development in the industry or a certain researcher's work - feel free to share that here too!

Or perhaps, you've got an idea for a project or research you wish to undertake, but need resources, collaborators, or simply some guidance - let the community know.

Here's a simple guideline to kickstart the conversation:

  • What's the research about? (Give a brief overview of the project or topic)
  • Current progress/Findings (If applicable)
  • Challenges and roadblocks (What issues are you facing or expect to face?)
  • Help needed (Are you looking for collaborators, resources, advice, etc.?)
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[–] matt@infosec.pub 2 points 1 year ago (2 children)

I recently had ChatGPT put together a "lesson plan" of sorts for the next six months of one thing to work on each week to get familiar with different skillsets and see what I really like. I basically gave it a list of skills that I currently have, topics that I want to learn more about, and certifications that I find interesting/applicable then had it come up with a project that could be completed in a weekend a book for further reading.

Right now I'm working on my CKS for work but here's a few things that I'm really looking forward to once I start knocking the weeks off on here:

  • Container Runtime internals: Dive deeper into the internals of container runtimes, understand container lifecycle management, and experiment with advanced runtime configurations.
  • Ghidra and Container Security: Analyze a container runtime component using Ghidra to identify potential vulnerabilities or weaknesses and propose mitigation strategies.
  • Adversarial Examples: Implement a simple adversarial attack on a pre-trained machine learning model using a library like Foolbox or CleverHans.
[–] execveat@infosec.pub 1 points 1 year ago (1 children)

Fascinating idea to use LLM for inspiration in researching new topics. Did it match your interests right away or did you need to wrangle with it?

[–] matt@infosec.pub 1 points 1 year ago

I had to give it a couple of tries -- originally I used Bard but wound up hitting paydirt with ChatGPT, seems to be a little bit better at understanding me at least? In terms of the topics, it really hit it out of the park but I still haven't checked every book; curious how many of them actually exists lol