CVE-2026-94624 — vllm
Fix: vllm-project/vllm#51504CVE-2026-94624 is a CWE-770 vulnerability in vllm. A fix is available for vllm — see the affected versions and patch details below.
vLLM through 0.29.0 Denial of Service via Unbounded P2P KV Offloading Sessions
Exploitation Status
No confirmed exploitation observed yet
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-94624.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
Real-World Exposure
vllmReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
When the OffloadingConnector uses TieringOffloadingSpec with a P2P secondary tier, an API client can submit many unique non-listening peer addresses through kv_transfer_params.prefill. vLLM keeps every never-established P2P session and its ZeroMQ sockets after the request finishes. On vLLM 0.26.0, 340 such peers filled the default ZeroMQ context socket quota; creating the next peer raised an uncaught ZMQError, terminated EngineCore, and shut down the API server. The path was reproduced with a normal API key and no access to the internal P2P listener.
Details
Root cause
In vLLM 0.26.0, P2PSecondaryTierManager.on_new_request() reads the following request-controlled fields:
{
"kv_transfer_params": {
"prefill": {
"kv_request_id": "id",
"remote_host": "127.0.0.1",
"remote_port": 49101
}
}
}
on_new_request() calls _get_or_create_session(peer_id). This calls ZmqTransport.connect(), creates a P2PSession, and stores it in _sessions before the asynchronous ZeroMQ connection has been established.
ZmqTransport._open_connection() creates a DEALER, enables a libzmq monitor, creates a PAIR socket for that monitor, calls dealer.connect(), and immediately stores the resulting ZmqConnection in _connections. Returning from dealer.connect() does not prove that the peer is reachable.
The monitor subscribes only to zmq.EVENT_DISCONNECTED. A peer that never accepts the initial connection produced EVENT_CONNECT_DELAYED, EVENT_CONNECT_RETRIED, and EVENT_CLOSED, but no EVENT_DISCONNECTED during a 60-second observation. The production monitor therefore never calls mark_dead(), and ZmqConnection.alive remains true.
Request completion calls session.finish_request(), but does not close or remove the peer session. The manager reaps only a session for which session.connected and not session.alive is true. A never-established peer remains connected=True, alive=True, and ready=False. There is no establishment deadline, idle eviction, or limit on pending or total peers.
Each unique retained peer uses about three sockets in the same ZeroMQ context: the DEALER, the monitor endpoint created by libzmq, and the PAIR monitor client. With the measured default MAX_SOCKETS=1023, 340 peers use approximately 1,020 sockets in addition to the local ROUTER. The next peer fails while creating its monitor PAIR. The exception escapes through on_new_request() and the scheduler into the EngineCore loop:
P2PSecondaryTierManager._get_or_create_session()
-> ZmqTransport.connect()
-> ZmqTransport._open_connection()
-> monitor_sock = self._zmq_ctx.socket(zmq.PAIR)
-> zmq.error.ZMQError: Too many open files
-> EngineDeadError
The process open-files limit was 65,536. The EngineCore had about 1,215 file descriptors at the failure point, so the failure was not the operating-system FD limit.
Boundary and controls
Each row below used a fresh vLLM process and pre-generated unique non-listening loopback ports.
| Test | Result |
|---|---|
Default MAX_SOCKETS=1023, 340 unique peers | 340 HTTP 200 responses; 340 active peers; service healthy |
| Default limit, 344 unique peers, concurrency 4 | 340 HTTP 200 and 4 HTTP 500 responses; EngineCore and API exited |
| Default limit, 344 unique peers, concurrency 1 | Same 340-peer ceiling and service exit |
| Same endpoint repeated 512 times | 512 HTTP 200 responses; one active peer; service healthy |
| 512 requests without P2P parameters | 512 HTTP 200 responses; no active peers; service healthy |
A diagnostic A/B changed only the context MAX_SOCKETS value. Raising it from 1,023 to 2,048 moved the last fully successful point from 340 to 682 peers. The 683rd peer then raised the same ZMQError and terminated the service. The approximately 2.01x movement in the boundary identifies the ZeroMQ context quota as the exhausted resource.
The failure runs used logging-only instrumentation around _open_connection() to record the context limit, peer count, and process FD count. It did not add or close any ZeroMQ socket and re-raised the original exception.
Related public work
PR #47843 is an open, unmerged proposal that identifies client-supplied P2P peer addresses as an SSRF risk and proposes API sanitization plus a configured peer allowlist. Those changes would block this public API trigger, but the PR does not add a connection deadline, session cleanup, or a capacity limit for never-established peers. This report adds the deterministic resource-exhaustion and service-exit impact of the retained state.
PR #49823 fixes cleanup and reconnection after a connection has been marked dead. A peer that never establishes does not receive the subscribed EVENT_DISCONNECTED event, so it never enters that dead-state cleanup path.
Impact
This is uncontrolled resource consumption leading to denial of service. An attacker needs network access to an OpenAI-compatible inference endpoint and a normal API key when --api-key is enabled. The attacker does not need access to the internal P2P control or data ports and does not need any peer to answer.
Only deployments that explicitly enable OffloadingConnector, TieringOffloadingSpec, and a P2P secondary tier are affected. Repeating a cheap one-token request with unique non-listening endpoints steadily consumes scheduler and ZeroMQ resources. In the tested default context, about 341 requests were enough to terminate EngineCore and stop all inference on the instance until restart. Confidentiality and integrity were not affected; the demonstrated impact is availability loss.
This advisory was fixed in MR51504.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | vllm | all versions | 0.32.0pip install --upgrade 'vllm==0.32.0' |
Affected Products
vllmvllmDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for vllm, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update vllm to 0.32.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-94624 is resolved across your whole dependency graph.
Workarounds
Restrict outbound requests from the affected component to an allowlist of hosts, block access to link-local and internal address ranges at the network layer, and require authentication on internal services so a forged request cannot reach them unauthenticated.
Fixing This On Your OS
If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.
Important: A denial of service vulnerability exists in vLLM's P2P KV offloading, affecting Red Hat AI Inference Server and Red Hat OpenShift AI. This flaw allows an unauthenticated attacker to exhaust ZeroMQ sockets by supplying arbitrary remote host and port values, leading to a crash of the EngineCore and disruption…
To mitigate this issue, avoid configuring vLLM's OffloadingConnector with TieringOffloadingSpec and a peer-to-peer secondary tier if not essential for your deployment. If this configuration is required, restrict network access to the vLLM instance to only trusted clients and internal networks to prevent unauthenticated attackers from reaching the vulnerable service.Source: Red Hat security advisory for CVE-2026-94624 (CC BY 4.0)
| Product | Fixed in | Advisory |
|---|---|---|
| Red Hat AI Inference Server 3.5 | rhaii/vllm-cpu-rhel9:1793444554 | RHSA-2026:94702 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-rocm-rhel9:1793444456 | RHSA-2026:94709 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-spyre-rhel9:1793444409 | RHSA-2026:94717 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-gaudi-rhel9:1793444510 | RHSA-2026:94721 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-cuda-rhel9:1793444600 | RHSA-2026:94738 |
| Red Hat OpenShift AI 3.4 | rhoai/odh-kserve-agent-rhel9:1791468381 | RHSA-2026:84734 |
Frequently Asked Questions
Is CVE-2026-94624 in your dependencies?
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