SiYuan up to 3.8.3 Gallery Renderer/Kanban Renderer cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00+ |
Summary
A vulnerability was found in SiYuan up to 3.8.3. It has been rated as problematic. Affected is an unknown function of the component Gallery Renderer/Kanban Renderer. Performing a manipulation results in cross site scripting. This vulnerability is cataloged as CVE-2026-100645. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is advised.
Details
A vulnerability was found in SiYuan up to 3.8.3. It has been classified as problematic. This affects an unknown function of the component Gallery Renderer/Kanban Renderer. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:
SiYuan versions 3.7.0 before 3.8.4 contain a stored cross-site scripting vulnerability in gallery and kanban database renderers where field descriptions are not escaped in aria-label attributes. In the Electron desktop app with nodeIntegration enabled, attackers can inject JavaScript that calls Node.js child_process APIs to execute arbitrary commands with user privileges.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-100645 since 09/26/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
Upgrading to version 3.8.4 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
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: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.0
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: SiYuan 3.8.4
Timeline
09/26/2026 Advisory disclosed09/26/2026 CVE reserved
09/26/2026 VulDB entry created
09/26/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-100645 (🔒)
GCVE (CVE): GCVE-0-2026-100645
GCVE (VulDB): GCVE-100-410739
Entry
Created: 09/26/2026 16:45Changes: 09/26/2026 16:45 (75)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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