CVE-2026-109228
7.5 HIGHpublic exploit availablePublished 2026-10-12 · Updated 2026-10-14
AI analysis for this CVE has not been generated yet. Raw NVD data is shown below.
NVD description
SGLang through 0.5.21 contains a resource budget bypass vulnerability that allows remote attackers to override GLM-V video processing limits by supplying fps, max_frames, max_tokens_per_frame and max_image_tokens in the video_url object. Attackers can set these values arbitrarily high so glm4v.py decodes every frame of high-resolution video at full size, exhausting worker memory and denying service.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-770
Public exploit & PoC references
- https://github.com/sgl-project/sglang
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/entrypoints/openai/protocol.py#L592-L594
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/processors/glm4v.py#L160-L167
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/processors/glm4v.py#L400
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/parser/conversation.py#L691
- https://github.com/sgl-project/sglang/issues/43705
All references
- https://github.com/sgl-project/sglang
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/entrypoints/openai/protocol.py#L592-L594
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/processors/glm4v.py#L160-L167
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/processors/glm4v.py#L400
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/parser/conversation.py#L691
- https://github.com/sgl-project/sglang/issues/43705
- https://www.vulncheck.com/advisories/sglang-through-0.5.21-resource-budget-bypass-via-glm-v-video-parameters
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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