Description

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.

Classification

CVE ID: CVE-2025-29783

CVSS Base Severity: CRITICAL

CVSS Base Score: 10.0

CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Affected Products

Vendor: vllm-project

Product: vllm

Exploit Prediction Scoring System (EPSS)

EPSS Score: 0.67% (probability of being exploited)

EPSS Percentile: 70.1% (scored less or equal to compared to others)

EPSS Date: 2025-04-17 (when was this score calculated)

References

https://nvd.nist.gov/vuln/detail/CVE-2025-29783
https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7
https://github.com/vllm-project/vllm/pull/14228
https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2

Timeline