ghsa-9f8f-2vmf-885j
Vulnerability from github
Impact
In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-node communication purposes. The primary vLLM host opens an XPUB
ZeroMQ socket and binds it to ALL interfaces. While the socket is always opened for a multi-node deployment, it is only used when doing tensor parallelism across multiple hosts.
Any client with network access to this host can connect to this XPUB
socket unless its port is blocked by a firewall. Once connected, these arbitrary clients will receive all of the same data broadcasted to all of the secondary vLLM hosts. This data is internal vLLM state information that is not useful to an attacker.
By potentially connecting to this socket many times and not reading data published to them, an attacker can also cause a denial of service by slowing down or potentially blocking the publisher.
Detailed Analysis
The XPUB
socket in question is created here:
https://github.com/vllm-project/vllm/blob/c21b99b91241409c2fdf9f3f8c542e8748b317be/vllm/distributed/device_communicators/shm_broadcast.py#L236-L237
Data is published over this socket via MessageQueue.enqueue()
which is called by MessageQueue.broadcast_object()
:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/device_communicators/shm_broadcast.py#L452-L453
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/device_communicators/shm_broadcast.py#L475-L478
The MessageQueue.broadcast_object()
method is called by the GroupCoordinator.broadcast_object()
method in parallel_state.py
:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L364-L366
The broadcast over ZeroMQ is only done if the GroupCoordinator
was created with use_message_queue_broadcaster
set to True
:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L216-L219
The only case where GroupCoordinator
is created with use_message_queue_broadcaster
is the coordinator for the tensor parallelism group:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L931-L936
To determine what data is broadcasted to the tensor parallism group, we must continue tracing. GroupCoordinator.broadcast_object()
is called by GroupCoordinator.broadcoast_tensor_dict()
:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L489
which is called by broadcast_tensor_dict()
in communication_op.py
:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/communication_op.py#L29-L34
If we look at _get_driver_input_and_broadcast()
in the V0 worker_base.py
, we'll see how this tensor dict is formed:
https://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/worker/worker_base.py#L332-L352
but the data actually sent over ZeroMQ is the metadata_list
portion that is split from this tensor_dict
. The tensor parts are sent via torch.distributed
and only metadata about those tensors is sent via ZeroMQ.
https://github.com/vllm-project/vllm/blob/54a66e5fee4a1ea62f1e4c79a078b20668e408c6/vllm/distributed/parallel_state.py#L61-L83
Patches
No fix yet.
Workarounds
Prior to the fix, your options include:
1. Do not expose the vLLM host to a network where any untrusted connections may reach the host.
2. Ensure that only the other vLLM hosts are able to connect to the TCP port used for the XPUB
socket. Note that port used is random.
References
- Relevant code first introduced in https://github.com/vllm-project/vllm/pull/6183
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "vllm" }, "ranges": [ { "events": [ { "introduced": "0.5.2" }, { "fixed": "0.8.5" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2025-30202" ], "database_specific": { "cwe_ids": [ "CWE-770" ], "github_reviewed": true, "github_reviewed_at": "2025-04-29T14:50:59Z", "nvd_published_at": null, "severity": "HIGH" }, "details": "### Impact\nIn a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-node communication purposes. The primary vLLM host opens an `XPUB` ZeroMQ socket and binds it to ALL interfaces. While the socket is always opened for a multi-node deployment, it is only used when doing tensor parallelism across multiple hosts.\n\nAny client with network access to this host can connect to this `XPUB` socket unless its port is blocked by a firewall. Once connected, these arbitrary clients will receive all of the same data broadcasted to all of the secondary vLLM hosts. This data is internal vLLM state information that is not useful to an attacker.\n\nBy potentially connecting to this socket many times and not reading data published to them, an attacker can also cause a denial of service by slowing down or potentially blocking the publisher.\n\n### Detailed Analysis\n\nThe `XPUB` socket in question is created here:\n\nhttps://github.com/vllm-project/vllm/blob/c21b99b91241409c2fdf9f3f8c542e8748b317be/vllm/distributed/device_communicators/shm_broadcast.py#L236-L237\n\nData is published over this socket via `MessageQueue.enqueue()` which is called by `MessageQueue.broadcast_object()`:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/device_communicators/shm_broadcast.py#L452-L453\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/device_communicators/shm_broadcast.py#L475-L478\n\nThe `MessageQueue.broadcast_object()` method is called by the `GroupCoordinator.broadcast_object()` method in `parallel_state.py`:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L364-L366\n\nThe broadcast over ZeroMQ is only done if the `GroupCoordinator` was created with `use_message_queue_broadcaster` set to `True`:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L216-L219\n\nThe only case where `GroupCoordinator` is created with `use_message_queue_broadcaster` is the coordinator for the tensor parallelism group:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L931-L936\n\nTo determine what data is broadcasted to the tensor parallism group, we must continue tracing. `GroupCoordinator.broadcast_object()` is called by `GroupCoordinator.broadcoast_tensor_dict()`:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/parallel_state.py#L489\n\nwhich is called by `broadcast_tensor_dict()` in `communication_op.py`:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/distributed/communication_op.py#L29-L34\n\nIf we look at `_get_driver_input_and_broadcast()` in the V0 `worker_base.py`, we\u0027ll see how this tensor dict is formed:\n\nhttps://github.com/vllm-project/vllm/blob/790b79750b596043036b9fcbee885827fdd2ef3d/vllm/worker/worker_base.py#L332-L352\n\nbut the data actually sent over ZeroMQ is the `metadata_list` portion that is split from this `tensor_dict`. The tensor parts are sent via `torch.distributed` and only metadata about those tensors is sent via ZeroMQ.\n\nhttps://github.com/vllm-project/vllm/blob/54a66e5fee4a1ea62f1e4c79a078b20668e408c6/vllm/distributed/parallel_state.py#L61-L83\n\n### Patches\n\nNo fix yet.\n\n### Workarounds\n\nPrior to the fix, your options include:\n1. Do not expose the vLLM host to a network where any untrusted connections may reach the host.\n2. Ensure that only the other vLLM hosts are able to connect to the TCP port used for the `XPUB` socket. Note that port used is random.\n\n### References\n\n* Relevant code first introduced in https://github.com/vllm-project/vllm/pull/6183", "id": "GHSA-9f8f-2vmf-885j", "modified": "2025-04-29T14:50:59Z", "published": "2025-04-29T14:50:59Z", "references": [ { "type": "WEB", "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-9f8f-2vmf-885j" }, { "type": "WEB", "url": "https://github.com/vllm-project/vllm/pull/6183" }, { "type": "WEB", "url": "https://github.com/vllm-project/vllm/commit/a0304dc504c85f421d38ef47c64f83046a13641c" }, { "type": "PACKAGE", "url": "https://github.com/vllm-project/vllm" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "type": "CVSS_V3" } ], "summary": "Data exposure via ZeroMQ on multi-node vLLM deployment" }
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- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
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- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.