{"schemaVersion":3,"id":"CVE-2026-56340","aliases":["GHSA-mcmc-2m55-j8jj","PYSEC-2026-250","CGA-qh5r-mq94-mpg4"],"status":"published","duplicateOf":null,"title":null,"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. 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