PYSEC-2025-63
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/vllm/PYSEC-2025-63.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2025-63
- Aliases
- Published
- 2025-03-19T16:15:32Z
- Modified
- 2025-07-01T23:59:56.271533Z
- Summary
- [none]
- Details
-
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.
- References
Affected packages
PyPI / vllm
Package
- Name
- vllm
- View open source insights on deps.dev
- Purl
- pkg:pypi/vllm