PYSEC-2026-3985
Vulnerability from pysec - Published: 2026-09-12 13:16 - Updated: 2026-09-17 08:35
VLAI
Details
vLLM before 0.28.0 contains a remote code execution vulnerability in the LlavaOnevision2 processor loader that ignores the trust_remote_code parameter when loading remote processor classes. Attackers can craft a malicious model with arbitrary code in processing_llava_onevision2.py that executes with vLLM process authority even when trust_remote_code is set to False.
Severity
Impacted products
| Name | purl | vllm | pkg:pypi/vllm |
|---|
Aliases
{
"affected": [
{
"ecosystem_specific": {},
"package": {
"ecosystem": "PyPI",
"name": "vllm",
"purl": "pkg:pypi/vllm"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.28.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.1.0",
"0.1.1",
"0.1.2",
"0.1.3",
"0.1.4",
"0.1.5",
"0.1.6",
"0.1.7",
"0.10.0",
"0.10.1",
"0.10.1.1",
"0.10.2",
"0.11.0",
"0.11.1",
"0.11.2",
"0.12.0",
"0.13.0",
"0.14.0",
"0.14.1",
"0.15.0",
"0.15.1",
"0.16.0",
"0.17.0",
"0.17.1",
"0.18.0",
"0.18.1",
"0.19.0",
"0.19.1",
"0.2.0",
"0.2.1",
"0.2.1.post1",
"0.2.2",
"0.2.3",
"0.2.4",
"0.2.5",
"0.2.6",
"0.2.7",
"0.20.0",
"0.20.1",
"0.20.2",
"0.21.0",
"0.22.0",
"0.22.1",
"0.23.0",
"0.24.0",
"0.25.0",
"0.25.1",
"0.26.0",
"0.27.0",
"0.27.1",
"0.3.0",
"0.3.1",
"0.3.2",
"0.3.3",
"0.4.0",
"0.4.0.post1",
"0.4.1",
"0.4.2",
"0.4.3",
"0.5.0",
"0.5.0.post1",
"0.5.1",
"0.5.2",
"0.5.3",
"0.5.3.post1",
"0.5.4",
"0.5.5",
"0.6.0",
"0.6.1",
"0.6.1.post1",
"0.6.1.post2",
"0.6.2",
"0.6.3",
"0.6.3.post1",
"0.6.4",
"0.6.4.post1",
"0.6.5",
"0.6.6",
"0.6.6.post1",
"0.7.0",
"0.7.1",
"0.7.2",
"0.7.3",
"0.8.0",
"0.8.1",
"0.8.2",
"0.8.3",
"0.8.4",
"0.8.5",
"0.8.5.post1",
"0.9.0",
"0.9.0.1",
"0.9.1",
"0.9.2"
]
}
],
"aliases": [
"CVE-2026-90553",
"GHSA-3c86-2m5g-59q7"
],
"details": "vLLM before 0.28.0 contains a remote code execution vulnerability in the LlavaOnevision2 processor loader that ignores the trust_remote_code parameter when loading remote processor classes. Attackers can craft a malicious model with arbitrary code in processing_llava_onevision2.py that executes with vLLM process authority even when trust_remote_code is set to False.",
"id": "PYSEC-2026-3985",
"modified": "2026-09-17T08:35:58.695483Z",
"published": "2026-09-12T13:16:53.887Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3c86-2m5g-59q7"
},
{
"type": "ADVISORY",
"url": "https://www.vulncheck.com/advisories/vllm-before-0.28.0-remote-code-execution-via-llavaonevision2-processor"
}
],
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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