2 matches found
CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings
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...
8.7CVSS6AI score0.00352EPSS
SaveExploits0References7
PT-2026-51172
Name of the Vulnerable Software and Affected Versions vLLM versions 0.10.2 through 0.12.x Description Multimodal embeddings processing lacks sparse tensor validation. Since PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests containing...
8.8CVSS5.9AI score0.00352EPSS
SaveExploits0References6
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