{"id":"CVE-2026-73557","title":"vLLM is an inference and serving engine for large language models","summary":"vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sparse.check_sparse_tensor_invariants, whose process-global save, enable,…","severity":"medium","cwe":["CWE-362"],"vendor":"vllm","product":"vllm","affected":["vllm >= 0.21.0, < 0.26.0"],"patched":["vllm 0.26.0"],"published":"2026-08-13","updated":"2026-09-09","sourceUpdated":"2026-09-09T20:58:37.713","source":"NVD","sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-73557","references":[{"url":"https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/pull/48583","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.26.0","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87","label":"security-advisories@github.com"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-73557"},{"url":"https://github.com/advisories/GHSA-pr7f-p5mw-fc87"},{"url":"https://github.com/vllm-project/vllm"},{"url":"https://pypi.org/project/vllm"}],"tags":["nvd","ghsa","pip","osv"],"epss":0.00404,"epssPercentile":0.31871,"aliases":["GHSA-pr7f-p5mw-fc87","PYSEC-2026-3938"],"ecosystem":"pip","ingestedAt":"2026-09-04T22:28:54.863Z","slug":"CVE-2026-73557","body":"## Overview\n\nvLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sparse.check_sparse_tensor_invariants, whose process-global save, enable, and restore state can be raced by concurrent prompt_embeds parts submitted to POST /v1/chat/completions through AsyncMultiModalItemTracker.resolve_items, asyncio.gather, and the default executor, allowing an invalid sparse tensor to reach tensor.to_dense despite the CVE-2025-62164 guard when enable_prompt_embeds is enabled. This issue is fixed in version 0.26.0.\n\n## Remediation\n\nRefer to the linked advisories for vendor-supplied fixes and affected version ranges.\n\n## Package advisory (CVE-2026-73557)\n\nAffected packages:\n\n- `vllm >= 0.21.0, < 0.26.0`\n\nPatched in:\n\n- `vllm 0.26.0`\n\nSource: https://github.com/advisories/GHSA-pr7f-p5mw-fc87","depth":"sunlit","depthScore":28,"depthScoreParts":{"impact":27.5,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}