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.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7
- https://nvd.nist.gov/vuln/detail/CVE-2025-29783
- https://github.com/vllm-project/vllm/pull/14228
- https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-63.yaml
- https://github.com/vllm-project/vllm
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.