sgl-project SGLang up to 0.5.21 Audio Loading load_audio audio_url/audio_data denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 1.61- |
Summary
A vulnerability was found in sgl-project SGLang up to 0.5.21. It has been classified as problematic. The affected element is the function load_audio of the component Audio Loading. The manipulation of the argument audio_url/audio_data leads to denial of service.
This vulnerability is traded as CVE-2026-109226. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in sgl-project SGLang up to 0.5.21 and classified as problematic. This issue affects the function load_audio of the component Audio Loading. The manipulation of the argument audio_url/audio_data with an unknown input leads to a denial of service vulnerability. Using CWE to declare the problem leads to CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. Impacted is availability. The summary by CVE is:
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.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-109226 since 10/12/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
- 0.5.0
- 0.5.1
- 0.5.2
- 0.5.3
- 0.5.4
- 0.5.5
- 0.5.6
- 0.5.7
- 0.5.8
- 0.5.9
- 0.5.10
- 0.5.11
- 0.5.12
- 0.5.13
- 0.5.14
- 0.5.15
- 0.5.16
- 0.5.17
- 0.5.18
- 0.5.19
- 0.5.20
- 0.5.21
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (VulnCheck): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/12/2026 Advisory disclosed10/12/2026 CVE reserved
10/12/2026 VulDB entry created
10/12/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-109226 (🔒)
GCVE (CVE): GCVE-0-2026-109226
GCVE (VulDB): GCVE-100-416939
Entry
Created: 10/12/2026 16:21Changes: 10/12/2026 16:21 (77)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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