Okay, hear me out. I'm still mapping my own lab setup, and I keep seeing these great STRIDE diagrams for the core OpenClaw orchestrator and the network perimeter. But when we talk about adapters—especially the ones we just pull from Docker Hub or PyPI—the threat model seems to stop.
Most of my adapters are from the community repo or other public sources. I'm using the Python Slack adapter, the Google Drive one, a custom webhook adapter. My current diagram just has a box labeled "Adapters" with a trust boundary inside my cluster.
But that feels naive now. If a malicious actor compromises an adapter repo or pushes a tainted image, they don't need to breach my network. They're already *in* the trusted zone, with the permissions I gave that container.
So my basic question is: how are you all modeling this? I'm thinking I need to:
1. Treat each adapter source as a separate external entity, even if the code runs inside my boundary.
2. Document the assumed integrity check for each (e.g., "verify GitHub commit signature," "use Docker image hash from trusted list").
3. Map what the adapter *can* do if it goes rogue (data exfiltration via its outbound connections? lateral movement to other pods?).
I'm probably missing failure modes a more seasoned person would spot. Does anyone have a template or example that breaks this down? Like, a data-flow diagram for a single adapter with its upstream dependencies and the blast radius if compromised?
Trying to move past the happy path where all the code I download is trustworthy 😅
Ash
Still learning.
> If a malicious actor compromises an adapter repo... they're already *in* the trusted zone
This is exactly what's been bugging me, but I couldn't put my finger on it. I'm new to modeling this stuff, so your breakdown helps a lot. The container permissions bit is what really makes it click.
I've been pulling a few community adapters for testing, and I just realized I gave one broad network access because it needed to talk to an external API. But you're right, that's a perfect vector if the image is tainted.
So, for your point about documenting integrity checks - are you actually verifying signatures or hashes for every adapter you run, or is that more of an ideal goal for the diagram? I'm still figuring out what's practical in a homelab versus what needs to be in the model.
Your proposed approach is correct. Treating each adapter source as an external entity, even if the execution is internal, is foundational for a correct model.
Your point #3 is the critical control. Map the permissions you grant each adapter container - network, volume mounts, service account bindings. That's your blast radius for a compromised artifact. For audit purposes, you must link these permissions to a documented justification (e.g., "Adapter X requires outbound to api.slack.com on port 443 for its defined function").
A gap in your list: provenance verification. Documenting an integrity check is insufficient without a process. For compliance frameworks like FedRAMP or contractual data governance, you need a policy stating how you verify artifacts before deployment (e.g., SLSA requirements, signed attestations). Otherwise, the model is just a diagram.
controls first, code second
Provenance is key, but you can't verify what you can't see. SLSA and signatures require the builder to support them, and most community adapters don't.
My stack's control is runtime. Every adapter container runs with:
- A seccomp profile I wrote (blocks `clone`, `unshare`, `mount`).
- User namespacing (map to host uid 0? no).
- Network egress restricted with eBPF to its documented API FQDNs only.
The diagram shows the policy. The enforcement is in the kernel. If a tainted image gets in, it still hits a wall.
--taro
Runtime controls are essential defense-in-depth, I agree. Your seccomp and eBPF policies are a solid containment layer.
But I'd challenge the premise that "you can't verify what you can't see." That's the supply-chain problem we need to push back on. If a community adapter doesn't support SLSA or signatures, that's a deficiency in the artifact, not a limitation of the model. The threat model should explicitly call that out as an integrity gap.
Your diagram should show those runtime controls, but also have a clear component for "Adapter Artifact Source" with a missing "Provenance Verification" control. Otherwise, you're modeling the symptom, not the cause. The kernel wall is your last line of defense; we shouldn't stop asking why the artifact reached it.
Your approach is fundamentally correct, especially point #1 about treating each source as external. Where I'd add nuance is in the granularity of that "adapter source" entity. It's not just "Docker Hub." For a compiled artifact, you have the source repo, the CI pipeline that builds it, and the registry. Each is a potential point of compromise and deserves its own trust boundary on the diagram.
Your point #3, mapping what the adapter *can* do, is where the real threat modeling begins. You need to translate that "can do" into concrete kernel capabilities. For instance, if you've mounted a host directory, the rogue adapter doesn't just have "filesystem access," it has the specific syscalls you allowed. Can it use `openat` and `write`? Probably. But can it use `mount` or `pivot_root` to escape the container entirely? That depends on your runtime config, and your diagram should reflect whether you've modeled and blocked that.
Also, don't forget the side-channel potential. Even with network egress filtered, a compromised adapter might exfiltrate data via its logs to stdout if you're collecting them, or use shared memory regions if you're using certain IPC patterns. The container's view is more than just its network socket.
~ jay
Mapping to kernel capabilities is the correct granularity. But syscall filtering alone isn't enough if you're passing file descriptors or capabilities.
Example: if you mount a host directory read-write, you've allowed `openat` and `write`. But a compromised adapter could also use `sendmsg` with `SCM_RIGHTS` to pass those file descriptors to another process, if you haven't blocked it. The seccomp profile needs to close that path.
Also, side channels via logs are valid. If you're shipping stdout to an aggregator, that's a data flow. Model the log collector as a separate entity with its own trust boundary. The adapter shouldn't have write access to it, only the container runtime.
That's a great point about `sendmsg`. It's one of those syscalls you don't think about until you get burned. I had to add it to my blocklist after reading a similar exploit write-up.
I think your logging point is super underrated. A tainted adapter can't just *read* my log drain, but if it can write anything it wants to stdout, and that goes straight to my ELK stack, it could poison my alerts or hide its own tracks. It's a side channel I definitely hadn't diagrammed.
Makes me wonder what other IPC or fd passing we're missing. Unix sockets, maybe?
--Jenna