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Show HN: Fence – Sandbox CLI commands with network/filesystem restrictions

78 points| jy-tan | 1 month ago |github.com

Hi HN!

Fence wraps any command in a sandbox that blocks network by default and restricts filesystem writes. Useful for running semi-trusted code (package installs, build scripts, unfamiliar repos) with controlled side effects, or even just blocking tools that phone home.

> fence curl https://example.com # -> blocked

> fence -t code -- npm install # -> template with registries allowed

> fence -m -- npm install # -> monitor mode: see what gets blocked

One use-case is to use it with AI coding agents to reduce the risk of running agents with fewer interactive permission prompts:

> fence -t code -- claude --dangerously-skip-permissions

You can import existing Claude Code permissions with `fence import --claude`.

Fence uses OS-native sandboxing (macOS sandbox-exec, Linux bubblewrap) + local HTTP/SOCKS proxies for domain filtering.

Why I built this: I work on Tusk Drift, a system to record and replay real traffic as API tests (https://github.com/Use-Tusk/tusk-drift-cli). I needed a way to sandbox the service under test during replays to block localhost outbound connections (Postgres, Redis) and force the app to use mocks instead of real services. I quickly realized that this could be a general purpose tool that would also be useful as a permission manager across CLI agents.

Limitations: Not strong containment against malware. Proxy-based filtering requires programs to respect `HTTP_PROXY`.

Curious if others have run into similar needs, and happy to answer any questions!

23 comments

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uwemaurer|1 month ago

I like it. Is it also possible to block all filesystem access and only allow certain directories / files?

Currently it seems to allow read access by default and only allows to block some paths with with "denyRead"

jy-tan|1 month ago

Yes, currently writes are deny-by-default, but reads are allow-by-default.

The challenge is that most programs need read access to system paths (/lib, /usr, /etc, /proc) just to run. A pure "deny all reads" mode would require users to figure out every dependency, which might be painful.

That said, a middle-ground would be reasonable, perhaps something like "defaultDenyRead: true" that blocks home/cwd/etc but still allows essential system paths, then lets you opt-in with "allowRead".

Curious what is your use case that makes deny-by-default reads more helpful? Either way, will file this as an issue.

foresto|1 month ago

Can fence wrap applications that do their namespace-based sandboxing?

This could allow finer control than the application's own sandbox offers. For example, Flatpak apps run in bubblewrap containers with all-or-nothing network permissions. Being able to restrict access by domain name would be useful.

jy-tan|1 month ago

Unfortunately nested bubblewrap sandboxes don't work.

When you run `fence flatpak run <app>`, Fence creates a bwrap sandbox with its own user namespace, Flatpak then tries to create another user namespace inside, so you'd get something like `bwrap: setting up uid map: Permission denied`.

The outer sandbox doesn't grant the capability for nested namespace creation (otherwise it would defeat much of the security), so Fence can't wrap Flatpak (or similar namespace-based sandbox tools) in a useful way. Ideally you'd need something at the network level outside any sandbox.

That said, open to suggestions if anyone knows of a feasible solution.

whinvik|1 month ago

Thanks. I was sure someone was going to make this sooner rather than later and this one seems relatively easy to configure.

I got tired of setting individual allow lists for each CLI, hopefully now I can run them all in Yolo mode while fence does the centralized sandboxing.

jy-tan|1 month ago

Awesome, give it a spin and let me know if you have any feedback!

_pktm_|1 month ago

Thank you for sharing. Why do you say that it’s not strong protection against malware? Seems like it might be pretty handy there, at least with respect to untrusted code.

jy-tan|1 month ago

Fair point, it does raise the bar! The distinction I'm drawing is between "semi-trusted" and "actively malicious".

Fence handles well supply-chain scripts that phone home, tools that write broadly across your filesystem, accidental secret leakage, the "opportunistic" stuff that makes up most real-world supply chain incidents.

I hedge on malware because: (1) Domain filtering relies on programs respecting HTTP_PROXY, and malware could ignore it (though direct connections are blocked at the OS level, so they'd fail rather than succeed), (2) OS sandboxes (sandbox-exec, bubblewrap) aren't VM-level isolation and I believe determined attackers could exploit kernel bugs, (3) there are no resource limits or content inspection.

The threat model is really "reduce blast radius from code you're running anyway". For a stronger containment boundary you'd want a proper VM.

More thoughts in the security model doc (https://github.com/Use-Tusk/fence/blob/main/docs/security-mo...) if you're curious!

Marceltan|1 month ago

Nice, this was helpful for us internally. Good call on allowing importing of existing .claude/settings.json, makes my life easier on personal projects.

vivzkestrel|1 month ago

- can i run user submitted untrusted code in this? and can it do a pip install if user wants or an npm install?

jy-tan|1 month ago

Yes, Fence is designed for exactly this, the built-in `code` template already allowlists npm and PyPI registries:

``` fence -t code pip install requests fence -t code npm install express ```

This restricts writes to workspace + cache dirs, blocks reading credentials, limits network to allowlisted domains, and blocks dangerous commands (`rm -rf`, `npm publish`, etc).

luckman212|1 month ago

Is there anything like this for macOS?

jy-tan|1 month ago

Fence works on macOS and Linux (the install script works for both platforms). I'll make that clearer in the README.

gregpr07|1 month ago

Wow this is really cool

kxbnb|1 month ago

Nice work on Fence! The network/filesystem restriction approach is exactly what's needed for running untrusted commands safely.

We're working on similar containment problems but at the API/MCP layer at keypost.ai - enforcing what outbound calls an agent can make rather than what local filesystem/network it can access. The two layers complement each other well.

The "restrictions as code" pattern is powerful. Are you thinking about extending to other resource types (API calls, token budgets, etc.)?

jy-tan|1 month ago

Thanks! And yeah, these are complementary layers. Fence is at the OS/network boundary, while API-level policies (endpoints, parameters, token budgets) need something that actually understands the protocols.

I think Fence should stay a thin wrapper around OS primitives (sandbox-exec, bubblewrap, Landlock), so not much beyond what it does today. The one extension that probably makes sense is basic resource limits (CPU, memory, fork bombs, etc). But API semantics and MCP tool restrictions belong in a different layer.