CVE-2026-56340: vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because P
Summary
vLLM (a system for running large language models) versions 0.10.2 through 0.12.x lack proper validation of sparse tensors (data structures with mostly empty values) when processing multimodal embeddings (numerical representations combining text and images). An attacker can send malicious embedding requests with invalid tensor indices to crash the system, exhaust resources, or potentially corrupt memory if the prompt-embeds feature is enabled.
Vulnerability Details
8.8(high)
EPSS: 0.0%
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
network
low
low
none
June 20, 2026
Classification
Taxonomy References
Affected Vendors
Related Issues
CVE-2022-29200: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implem
CVE-2021-29541: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null p
Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-56340
First tracked: June 21, 2026 at 02:35 AM
Classified by LLM (prompt v3) · confidence: 92%