Staging Environment: Content and features may be unstable or change without notice.
Advisory details: pypa / vllm/PYSEC-2025-63
Advisory ID pypa/vllm/PYSEC-2025-63
Aliases CVE-2025-29783
GHSA-x3m8-f7g5-qhm7
PYSEC-2025-63
Summary 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.
Status Published
Exploitability 0.5
Weighted Severity 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (0)
There are no known CWE.
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2
https://github.com/vllm-project/vllm/pull/14228
https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
There are no known vectors.

Vector: SSVCv2/E:N/A:Y/T:T/P:M/B:A/M:M/D:T/2025-03-19T18:30:27Z/

Decision: Track

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/29xxx/CVE-2025-29783.json

Source Advisory: vulnrichment/CVE-2025-29783

View SSVC decision tree 
[{'Exploitation': 'none'},
 {'Automatable': 'yes'},
 {'Technical Impact': 'total'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]