CVE-2026-105754 json
vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features
published 2026-10-05 34 d ago modified 2026-10-15 24 d ago also GHSA-ph72-cqr5-qpp7 , PYSEC-2026-4309 , EUVD-2026-92844
- cvss
- 6.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.3%
- EPSS 0.3% chance of exploitation in 30 days, percentile 19%
- public exploits
- 0
- none known
Summary
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargs_data field, cache identifiers in the features.mm_hashes field, ranges in the features.mm_placeholders field, and wire-selected multimodal field processors without rebinding them to the active model renderer contract. Forged grid geometry, field types, or non-positive placeholder lengths can terminate the shared EngineCore; when an attacker knows or can induce a victim's content hash, forged cache hashes can poison or retrieve cross-request encoder-cache state; and dropped sparse placeholder masks can alter replayed transport semantics. This issue is fixed in version 0.30.0.
Patch / fix
- pypi vllm 0.30.0
- vllm vllm 0.30.0
- github.com/vllm-project/vllm@1970f3e commit
- github.com/vllm-project/vllm#51898 pull request
- github.com/vllm-project/vllm/releases/tag/v0.30.0 release
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-105754 updated cvss 6.5
vllm: vllm: Denial of Service via unvalidated multimodal parameters in scale-out endpoint
-
Red Hat AI Inference Server rhaii/vllm-cpu-rhel9, rhaii/vllm-tpu-rhel9, rhaii/vllm-cuda-rhel9, rhaii/vllm-rocm-rhel9, rhaiis/vllm-cpu-rhel9, rhaiis/vllm-tpu-rhel9, +7 more Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-cuda-rhel9, rhelai3/bootc-rocm-rhel9, rhelai3/bootc-gaudi-rhel9, rhelai3/bootc-aws-cuda-rhel9, rhelai3/bootc-gcp-cuda-rhel9, rhelai3/bootc-azure-cuda-rhel9, +1 more Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-gaudi-rhel9, rhoai/odh-kserve-agent-rhel9, rhoai/odh-kserve-router-rhel9, rhoai/odh-llm-d-kv-cache-rhel9, rhoai/odh-kserve-controller-rhel9, rhoai/odh-th-torch-cuda-py312-rhel9, +1 moreaffected: workaround, no fix available “Fix deferred”
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 32 d ago
Exploit prediction
0.27% chance of exploitation in the next 30 days, higher than 19% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vllm | <0.30.0 |
0.30.0 |
Affected products
- vllm-project vllm
Classification
References
-
github.com
/vllm-project/vllm/pull/51898
web, issue-tracking, patch
-
github.com
/vllm-project/vllm/commit/1970f3ed4be7fa8620e4ddc4a12c36a8384cfc27
web, patch
-
github.com
/vllm-project/vllm/security/advisories/GHSA-ph72-cqr5-qpp7
web, mitigation, vendor-advisory
-
github.com
/vllm-project/vllm/releases/tag/v0.30.0
web, release-notes
-
github.com
/vllm-project/vllm
package
-
pypi.org
/project/vllm
package
-
github.com
/advisories/GHSA-ph72-cqr5-qpp7
advisory
-
nvd.nist.gov
/vuln/detail/CVE-2026-105754
advisory
Sources
- CVE List CVE-2026-105754
- GitHub Advisory GHSA-ph72-cqr5-qpp7
- NVD CVE-2026-105754
- OSV PYSEC-2026-4309
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.