Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-32751 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in B3Log Siyuan. Its CVSS base score is 5.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 47% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-32751 is a stored cross-site scripting (XSS) vulnerability, classified under CWE-79, affecting SiYuan, a personal knowledge management system, in versions 3.6.0 and prior. The issue resides in the mobile file tree component (MobileFiles.ts), which renders notebook names using innerHTML without HTML escaping during processing of renamenotebook WebSocket events. In contrast, the desktop version (Files.ts) correctly applies escapeHtml(). The vulnerability carries a CVSS v3.1 base score of 9.0 (AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H).
An authenticated attacker with permission to rename notebooks can inject arbitrary HTML and JavaScript into notebook names. This payload executes as stored XSS on any mobile client viewing the affected file tree. Due to the Electron application's configuration with nodeIntegration enabled and contextIsolation disabled, the injected JavaScript gains full Node.js access, enabling remote code execution. The mobile layout activates in the Electron desktop app on narrow windows, extending exploitability to desktop environments.
The vulnerability has been addressed in SiYuan version 3.6.1. Relevant resources include the fixing commit at https://github.com/siyuan-note/siyuan/commit/f6d35103f774b65e52f03e018649ff0e57924fb0, the release notes at https://github.com/siyuan-note/siyuan/releases/tag/v3.6.1, and the security advisory at https://github.com/siyuan-note/siyuan/security/advisories/GHSA-qr46-rcv3-4hq3, which recommend upgrading to the patched version for mitigation.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-13217
Vulnerability Data
SiYuan is a personal knowledge management system. In versions 3.6.0 and below, the mobile file tree (MobileFiles.ts) renders notebook names via innerHTML without HTML escaping when processing renamenotebook WebSocket events. The desktop version (Files.ts) properly uses escapeHtml() for the same…
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operation. An authenticated user who can rename notebooks can inject arbitrary HTML/JavaScript that executes on any mobile client viewing the file tree. Since Electron is configured with nodeIntegration: true and contextIsolation: false, the injected JavaScript has full Node.js access, escalating stored XSS to full remote code execution. The mobile layout is also used in the Electron desktop app when the window is narrow, making this exploitable on desktop as well. This issue has been fixed in version 3.6.1.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.
Input validation directly enforces neutralization of untrusted data before it reaches web output generation.
Output filtering can catch or sanitize unneutralized script content before it is served to users.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.
Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.
Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.