CVE-2026-56340
HIGH
8.8
CVSS 3.1
Description
vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.
Metadata
Severity & Metrics
8.8
HIGH CVSS 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Affected products (1)
| Vendor | Product | Platform | Versions |
|---|---|---|---|
| vLLM | vLLM | — | 0.10.2 < 0.13.0, 0.13.0 |
Weakness (CWE)
| CWE | Source | Description |
|---|---|---|
| CWE-20 | cna | Improper Input Validation |
CVSS scores (2)
| Score | Severity | Version | Source | Vector |
|---|---|---|---|---|
| 8.8 | HIGH | 3.1 | cna | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| 8.7 | HIGH | 4.0 | cna | CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N |
References (2)
- GHSA Advisory GHSA-mcmc-2m55-j8jj https://github.com/vllm-project/vllm/security/advisories/GHSA-mcmc-2m55-j8jj
- VulnCheck Advisory: vLLM - Denial of Service via Unvalidated Multimodal Embeddings https://www.vulncheck.com/advisories/vllm-denial-of-service-via-unvalidated-multimodal-embeddings