CVE-2026-73557
CVE-2026-73557 · vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts
Esta página presenta datos de fuentes públicas de vulnerabilidades. Consulta el aviso original antes de actualizar.
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, 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.
CVSS 6.3 · Media · EPSS 0,2% · Corrección disponible
- Publicación
- Actualización
Pila tecnológica: python
Productos y versiones afectados
Fuentes originales
- https://github.com/vllm-project/vllm/security/advisories/GHSA-pr7f-p5mw-fc87
- https://github.com/vllm-project/vllm/pull/48583
- https://github.com/vllm-project/vllm/commit/793cf79c89d4049124e756915468ac30318f2e50
- https://github.com/vllm-project/vllm/releases/tag/v0.26.0
- https://nvd.nist.gov/vuln/detail/CVE-2026-73557