siyuan-note SiYuan up to 3.7.3 Table Column Width Validation setAttrViewColWidth cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.2 | $0-$5k | 2.54 |
Summary
A vulnerability was found in siyuan-note SiYuan up to 3.7.3. It has been rated as problematic. This affects the function setAttrViewColWidth of the component Table Column Width Validation. This manipulation causes cross site scripting.
The identification of this vulnerability is CVE-2026-73044. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability classified as problematic was found in siyuan-note SiYuan up to 3.7.3. Affected by this vulnerability is the function setAttrViewColWidth of the component Table Column Width Validation. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect integrity. The summary by CVE is:
SiYuan versions before v3.7.4 fail to validate or escape table column width values, allowing stored cross-site scripting injection into style attributes. Attackers can inject malicious payloads through the setAttrViewColWidth API that break out of style attributes and inject event handlers on every table cell, executing arbitrary code in the Electron renderer with Node integration enabled.
The advisory is shared at github.com. This vulnerability is known as CVE-2026-73044 since 08/10/2026. The exploitation appears to be easy. The attack can be launched remotely. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.
Upgrading to version 3.7.4 eliminates this vulnerability.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
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: 6.2VulDB Meta Temp Score: 6.2
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.0
CNA Vector (VulnCheck): 🔒
CVSSv2
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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 3.7.4
Timeline
08/10/2026 CVE reserved08/15/2026 Advisory disclosed
08/15/2026 VulDB entry created
08/16/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-73044 (🔒)
GCVE (CVE): GCVE-0-2026-73044
GCVE (VulDB): GCVE-100-391069
Entry
Created: 08/16/2026 00:04Changes: 08/16/2026 00:04 (77)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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