GHSA-pcjq-j3mq-jv5j
SiYuan Has a Stored Cross-Site Scripting (XSS) Vulnerability via Unrestricted SVG File Upload
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
github.com/siyuan-note/siyuan/kernelReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.
Description
Summary
A Stored Cross-Site Scripting (XSS) vulnerability exists in SiYuan Note. The application does not sanitize uploaded SVG files. If a user uploads and views a malicious SVG file (e.g., imported from an untrusted source), arbitrary JavaScript code is executed in the context of their authenticated session.
Details
The application allows authenticated users to upload files, including .svg images, without sanitizing the input to remove embedded JavaScript code (such as <script> tags or event handlers).
PoC
- Create a new "Daily note" in the workspace. <img width="1287" height="572" alt="image" src="https://github.com/user-attachments/assets/3a4389b9-695d-4e1b-94dc-72efdb047aa9" />
- Create a file named test.svg with malicious JavaScript inside:
<svg xmlns="http://www.w3.org/2000/svg" width="200" height="200" viewBox="0 0 124 124" fill="none">
<rect width="124" height="124" rx="24" fill="red"/>
<script type="text/javascript">
alert(window.origin);
</script>
</svg>
- Upload a file in current daily note: <img width="1617" height="316" alt="image" src="https://github.com/user-attachments/assets/6e14318a-08ec-48e5-b278-9174ad17cfcb" />
- Right-click the uploaded asset in the note.
- Select "Export" <img width="934" height="718" alt="image" src="https://github.com/user-attachments/assets/ec943dfa-92ba-47f6-8b1e-56e53f1b0ca6" />
- The JavaScript code executes immediately. <img width="1033" height="632" alt="image" src="https://github.com/user-attachments/assets/a1611291-d333-4f8e-9da9-62104aaa1bdd" />
Impact
The vulnerability allows to upload an SVG file containing malicious scripts. When a user exports this file, the embedded arbitrary JavaScript code is executed within their browser context
Notes
Tested version: <img width="1440" height="534" alt="image" src="https://github.com/user-attachments/assets/a62271e4-6850-4f59-be88-c4f8055429c0" />
Solution
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/siyuan-note/siyuan/kernel | all versions | 0.0.0-20260116101155-11115da3d0de |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/siyuan-note/siyuan/kernel. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update github.com/siyuan-note/siyuan/kernel to 0.0.0-20260116101155-11115da3d0de or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-pcjq-j3mq-jv5j is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-pcjq-j3mq-jv5j is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-pcjq-j3mq-jv5j. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-pcjq-j3mq-jv5j in your dependencies?
O3 detects GHSA-pcjq-j3mq-jv5j across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.