Critical severity9.0NVD Advisory· Published Mar 19, 2025· Updated Jun 17, 2026
CVE-2025-29783
CVE-2025-29783
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.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
vllmPyPI | >= 0.6.5, < 0.8.0 | 0.8.0 |
Affected products
7- osv-coords5 versionspkg:apk/chainguard/py3.10-vllm-cuda-11.8pkg:apk/chainguard/py3.10-vllm-cuda-12.6pkg:apk/chainguard/py3.10-wheels-vllm-cuda-11.8pkg:apk/chainguard/tritonserver-backend-vllm-24.04pkg:pypi/vllm
< 0.8.2-r0+ 4 more
- (no CPE)range: < 0.8.2-r0
- (no CPE)range: < 0.8.4-r0
- (no CPE)range: < 0.8.2-r0
- (no CPE)range: < 24.04-r6
- (no CPE)range: >= 0.6.5, < 0.8.0
Patches
Vulnerability mechanics
References
6- github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2nvdPatchWEB
- github.com/advisories/GHSA-x3m8-f7g5-qhm7ghsaADVISORY
- github.com/vllm-project/vllm/pull/14228nvdIssue TrackingVendor AdvisoryWEB
- github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7nvdVendor AdvisoryWEB
- nvd.nist.gov/vuln/detail/CVE-2025-29783ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-63.yamlghsaWEB
News mentions
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