{"schemaVersion":3,"id":"CVE-2025-48956","aliases":["GHSA-rxc4-3w6r-4v47","PYSEC-2026-2021","CGA-72cj-r4fx-g22p","CGA-rc8g-h5hf-3cv9"],"status":"published","duplicateOf":null,"title":null,"description":"vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. 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