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.
Metrics
Affected Vendors & Products
References
History
Fri, 30 Oct 2026 15:30:00 +0000
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ssvc
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Wed, 28 Oct 2026 15:45:00 +0000
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| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* |
Tue, 27 Oct 2026 12:30:00 +0000
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threat_severity
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threat_severity
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Mon, 26 Oct 2026 18:45:00 +0000
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Vllm
Vllm vllm Vllm-project Vllm-project vllm |
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| Vendors & Products |
Vllm
Vllm vllm Vllm-project Vllm-project vllm |
Mon, 26 Oct 2026 17:30:00 +0000
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| Description | 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. | |
| Title | vLLM DeepSeek-OCR image processing vulnerable to denial of service | |
| Weaknesses | CWE-617 | |
| References |
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| Metrics |
cvssV3_1
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Status: PUBLISHED
Assigner: GitHub_M
Published: 2026-10-26T17:08:20.839Z
Updated: 2026-10-30T14:23:21.521Z
Reserved: 2026-10-23T20:21:45.107Z
Link: CVE-2026-115914
Updated: 2026-10-30T14:23:17.343Z
Status : Analyzed
Published: 2026-10-26T18:17:38.540
Modified: 2026-10-30T15:16:45.990
Link: CVE-2026-115914