fkie_cve-2025-29783
Vulnerability from fkie_nvd
Published
2025-03-19 16:15
Modified
2025-07-01 20:52
Severity ?
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.
References
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
"matchCriteriaId": "090A99DD-3EC3-40E2-9615-1DFDCF3B8A6A",
"versionEndExcluding": "0.8.0",
"versionStartIncluding": "0.6.5",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "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."
},
{
"lang": "es",
"value": "vLLM es un motor de inferencia y servicio de alto rendimiento y eficiente en el uso de memoria para LLM. Cuando vLLM se configura para usar Mooncake, la deserializaci\u00f3n insegura expuesta directamente a trav\u00e9s de ZMQ/TCP en todas las interfaces de red permitir\u00e1 a los atacantes ejecutar c\u00f3digo remoto en hosts distribuidos. Esta vulnerabilidad de ejecuci\u00f3n remota de c\u00f3digo afecta a cualquier implementaci\u00f3n que use Mooncake para distribuir KV entre hosts distribuidos. Esta vulnerabilidad se corrigi\u00f3 en la versi\u00f3n 0.8.0."
}
],
"id": "CVE-2025-29783",
"lastModified": "2025-07-01T20:52:17.273",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.0,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 6.0,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2025-03-19T16:15:32.477",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2"
},
{
"source": "security-advisories@github.com",
"tags": [
"Issue Tracking",
"Vendor Advisory"
],
"url": "https://github.com/vllm-project/vllm/pull/14228"
},
{
"source": "security-advisories@github.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
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