CVE-2026-115914Vllm · Vllm
Vulnerability data via NVD (ingested)
vLLM 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-OCR image path allows a remote client that can reach the OpenAI-compatible API to submit a legal image whose normalized pixels sum to zero when that image is alone in its per-step encoder batch. _parse_and_validate_image_input returns no embedding, embed_multimodal propagates that value, and sanity_check_mm_encoder_outputs triggers a fatal assertion that shuts down the engine for all users. This issue is fixed in version 0.32.0.
External references
Search for exposed instances
Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
vuln:CVE-2026-115914product:"Vllm Vllm"http.html:"Vllm"More intel sources (5)
vuln:CVE-2026-115914vulnerabilities.cve_id: CVE-2026-115914CVE-2026-115914CVE-2026-115914"CVE-2026-115914" exploit -site:nvd.nist.gov