CVE-2026-93436

Description

References

• vllm-project/vllm · WEB
• vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-rejected-requests · ADVISORY
• vllm-project/vllm#55677 · FIX
• vllm-project/vllm · PACKAGE

vllm의 다른 취약점

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• CVE-2026-115917보통 4.7vLLM is an inference and serving engine for large language models. Prior to 0.32.0, the OpenAI-compatible server configures Starlette CORSMi…
• CVE-2026-115916보통 6.5vLLM is an inference and serving engine for large language models. Prior to 0.32.0, vllm/tokenizers/hf.py computes max_token_id with an off-…
• CVE-2026-115915심각 9.8vLLM is an inference and serving engine for large language models. Prior to 0.32.0, ImageMediaIO passes attacker-controlled image bytes to P…
• CVE-2026-115914보통 6.5vLLM is an inference and serving engine for large language models. From 0.11.1 until 0.32.0, the DeepSeek-OCR, DeepSeek-OCR-2, and Unlimited…