jfkimmes
Joined 4 years ago
Joined 4 years ago
Security research historically has two difficult components that build on one another: 1. Understanding complex system internals: uncovering the inner workings hidden by abstractions or interfaces 2. Finding vulnerabilities in these uncovered mechanisms
Sometimes both steps are equally hard. But often, finding the vulnerability is trivial once the real mechanisms are uncovered, rather than relying on assumptions about inner workings.
CVE-2026-3854 is a case where the vulnerability is not plainly obvious after understanding the internals. Still, I am confident that this command injection would have been found quickly had it been exposed to a more traditional or accessible attack surface.
Neither the release post, nor the model card seems to indicate anything like this?
I recommend anybody in offensive/defensive cybersecurity to experiment with this. This is the real data point we needed - without the hype!
Never thought I'd say this but OpenAI is the 'open' option again.
https://media.ccc.de/v/39c3-skynet-starter-kit-from-embodied...
> [...] we also exploit the embodied AI agent in the robots, performing prompt injection and achieve root-level remote code execution.
Here's what I landed on: This config tries to emulate as much of tmux with native ghostty features (splits and tabs).
https://codeberg.org/jfkimmes/dotfiles/src/branch/master/gho...
They have SFU support as of recently, so it should scale similarly to Jitsi et al.
It's offline. Neither you nor the merchant have to have a connection to the bank for the transaction to happen.