CVE-2026-109226SGLang through 0.5.21 Audio Decompression Amplification via load_audio
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It affects sgl-project sglang. Add what you run to find out whether that includes you.
EPSS puts the chance of exploitation in the next 30 days at 0.46%, higher than 39% of scored CVEs.
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SGLang through 0.5.21 contains a decompression amplification vulnerability in load_audio that allows remote attackers to exhaust memory by submitting highly compressed audio decoded without duration or sample limits. Attackers can supply small FLAC-encoded silence files through audio_url or audio_data inputs that expand into massive PCM buffers, exhausting worker memory and CPU for denial of service.
- CVSS
- 7.5 HIGH (v3.1, CNA)CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weakness (CWE)
- CWE-409
- Known exploited
- Not in CISA's KEV catalog
- EPSS (exploitation in the next 30 days)
- 0.46% (percentile 39)
- Assigned by
- VulnCheck
- NVD analysis
- Deferred
- Record last updated
- Oct 13, 2026
- First seen by InfoSec Signals
- Oct 12, 2026
Affected products
sgl-project sglang sgl_project:sglang (from the name) | through 0.5.21 | CNA record |
References
- https://github.com/sgl-project/sglang/issues/43708issue-tracking
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/utils/common.py#L1783technical-description
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/utils/common.py#L1801-L1803technical-description
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/audio_from_video.py#L128technical-description
- https://github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/processors/base_processor.py#L996technical-description
- https://github.com/sgl-project/sglangproduct
- https://www.vulncheck.com/advisories/sglang-through-0.5.21-audio-decompression-amplification-via-load-audiothird-party-advisory
The CVE record on cve.org NVD's entry
The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.