CVE-2025-30165 | Remote Code Execution Vulnerability in vLLM Multi-Node Cluster Configuration

vLLM is an inference and serving engine for large language models. In a multi-node vLLM deployment using the V0 engine, vLLM uses ZeroMQ for some multi-node communication purposes. The secondary vLLM hosts open a `SUB` ZeroMQ socket and connect to an `XPUB` socket on the primary vLLM host. When data is received on this `SUB` socket, it is deserialized with `pickle`. This is unsafe, as it can be abused to execute code on a remote machine. Since the vulnerability exists in a client that connects to the primary vLLM host, this vulnerability serves as an escalation point. If the primary vLLM host is compromised, this vulnerability could be used to compromise the rest of the hosts in the vLLM deployment. Attackers could also use other means to exploit the vulnerability without requiring access to the primary vLLM host. One example would be the use of ARP cache poisoning to redirect traffic to a malicious endpoint used to deliver a payload with arbitrary code to execute on the target machine. Note that this issue only affects the V0 engine, which has been off by default since v0.8.0. Further, the issue only applies to a deployment using tensor parallelism across multiple hosts, which we do not expect to be a common deployment pattern. Since V0 is has been off by default since v0.8.0 and the fix is fairly invasive, the maintainers of vLLM have decided not to fix this issue. Instead, the maintainers recommend that users ensure their environment is on a secure network in case this pattern is in use. The V1 engine is not affected by this issue.

Published: 2025-05-06 Last update: 2025-07-31 Assigner: [email protected] Source: [email protected]

Conclusion & alert: CVE-2025-30165 is rated Moderate Risk (45.6/100): CVSS High severity, with low exploitation likelihood (EPSS 0.48%). Mandatory action: Review affected assets and schedule remediation.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Exploit prediction scoring system (EPSS) score for CVE-2025-30165

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-06-15 0.13% 0.48% +0.35%
2 2026-06-14 0.43% 0.13% -0.30%
3 2026-05-22 0.43%

Full EPSS history (22 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2025-30165

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
8.0 3.1 HIGH
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Click to expand
Attack vector (AV:A)
Attacker has to be nearby on the network—same office, same link, that vibe—not the whole wide internet.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
2.1 5.9 [email protected]

Weakness enumeration for CVE-2025-30165

GitHub Security Advisory for CVE-2025-30165

GHSA-9pcc-gvx5-r5wm · Severity: high · Ecosystem: pip — Remote Code Execution Vulnerability in vLLM Multi-Node Cluster Configuration

OS Trackers for CVE-2025-30165

vendor priority summary link
redhat high https://access.redhat.com/security/cve/CVE-2025-30165

Affected software / configurations for CVE-2025-30165

Vendor Product Version Raw CPE
vllm vllm >= 0.5.2 cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

References for CVE-2025-30165

cvelogic Threat Intelligence