steipete

Joined 16 years ago

Karma
1,290
Submissions
143
Member since
Jun 28
[ my public key: https://keybase.io/steipete; my proof: https://keybase.io/steipete/sigs/thxAWG74LlxCDGsHPbO-ESZG2kDBDFOB4mw94ZeK5pk ]
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Recent submissions

Comment · 6 months ago
Comment · 7 months ago
ofc it's software engineers.
Comment · 7 months ago
Honestly that seems like total guesswork. There's a lot of FUD going around, or people running portscans and assuming just because they detect a gateway on a port, that they can connect to it. That’s not the case.
Comment · 7 months ago
They both sponsor the OpenClaw Foundation and provide engineers to improve OpenClaw.
Comment · 7 months ago
OpenClaw creator here.

This was a privilege-escalation bug, but not "any random Telegram/Discord message can instantly own every OpenClaw instance."

The root issue was an incomplete fix. The earlier advisory hardened the gateway RPC path for device approvals by passing the caller's scopes into the core approval check. But the `/pair approve` plugin command path still called the same approval function without `callerScopes`, and the core logic failed open when that parameter was missing.

So the strongest confirmed exploit path was: a client that ALREADY HAD GATEWAY ACCESS and enough permission to send commands could use `chat.send` with `/pair approve latest` to approve a pending device request asking for broader scopes, including `operator.admin`. In other words: a scope-ceiling bypass from pairing/write-level access to admin.

This was not primarily a Telegram-specific or message-provider-specific bug. The bug lived in the shared plugin command handler, so any already-authorized command sender that could reach `/pair approve` could hit it. For Telegram specifically, the default DM policy blocks unknown outsiders before command execution, so this was not "message the bot once and get admin." But an already-authorized Telegram sender could still reach the vulnerable path.

The practical risk for this was very low, especially if OpenClaw is used as single-user personal assistant. We're working hard to harden the codebase with folks from Nvidia, ByteDance, Tencent and OpenAI.

Comment · 8 months ago
Comment · 9 months ago
Comment · 1 year ago
Marketing for what? I didn't even link to what I'm building because I wanna ship it when it's ready.
Comment · 1 year ago
(OP) You know if I link to a half-finished project, people would take it apart as many don't understand the nuance between crap and simply not done yet. But if you follow me on twitter it'll take you a few minutes to figure out. I'm two months in, even with AI, shipping good stuff takes time.
Comment · 1 year ago
(OP) 1/3rd of the code is tests.

There's an Expo app, two Tauri apps, a cli, a chrome extension. The admin part to help debug and test features is EXTREMELY detailed and around 40k LOC alone.

To give some perspective to that number.

Comment · 1 year ago
OP: If you give the llm examples like https://react.dev/learn/you-might-not-need-an-effect, it does a farily good job at refactoring useEffecs.

And yes refactoring sometimes re-introduces these, so it's not a perfect solution.

Comment · 1 year ago
(OP) the current projec is closed source. If you look at my cli tools, that's pure slop, all I care is that it works, so reviewing that code for sure will show some weird stuff. Does it matter? It's a tool to fetch logs form a server. I run it locally. As long as is does that reliably, idk about the code.
Comment · 1 year ago
tbh in the time where everyone uses AI to write articles, some typos and mistakes like that are helpful to show that it's human made.
Comment · 1 year ago
(OP) I use atlas for database migrations, it works quite well with agents and has plenty guardrails around it.
Comment · 1 year ago
Been using that for a while, first Chinese model that works REALLY well!

Also fascinating how they solved the issue that Claude expects a 200+k token model while GLM 4.5 has 128k.

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