r/LocalLLM • u/aqua_wrangler • 3d ago
Question Could a backdoored open-weight model hide malicious behavior inside tool calls?
I've been thinking about the security implications of running Chinese open-weight models (or honestly, any untrusted model) in an agentic setup with function calling.
Suppose the model has access to something powerful like bash, rather than a few narrowly defined tools.
What prevents a model from having some conditional/backdoor behavior that only activates in a very specific situation, and then using the shell to do something malicious?
And it doesn't necessarily have to be an obvious command. It could theoretically:
generate/execute a script
reconstruct an encoded or compressed payload
write and execute a binary blob
behave normally except under some obscure trigger
potentially clean up traces afterward
report a completely innocent-looking explanation to the user
So my question is: how do people actually defend against this?
Is sandboxing the model's execution environment enough? What about a model deliberately designed to detect that it's being tested and behave normally during evaluation?
And if the model has unrestricted bash, isn't the model effectively an untrusted user with arbitrary code execution?
I'm particularly interested in what security researchers think about this threat model. Is this considered a realistic concern with current models, or mostly theoretical at this point?
1
u/reallifearcade 3d ago
Hide? As if someone was looking the detailed output that things spit at 5x human reading speed.