GHSA-85XQ-27M5-59M9
Vulnerability from github – Published: 2026-08-03 15:32 – Updated: 2026-09-03 21:17
VLAI
Summary
Duplicate Advisory: SiYuan: Full-content disclosure of publish-disabled documents via getHeading*Transaction endpoints (publish mode): reader-reachable rendered DOM with no publish-access check
Details
Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-69mh-gvh4-8gp7. This link is maintained to preserve external references.
Original Description
SiYuan versions before v3.7.3 contain an information disclosure vulnerability in the getHeadingDeleteTransaction, getHeadingLevelTransaction, and getHeadingInsertTransaction endpoints that return rendered block DOM without publish-access checks. Anonymous readers or publish RoleReader tokens can supply a heading block ID to read full rendered content of publish-disabled documents that should be restricted.
Severity
8.6 (High)
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "github.com/siyuan-note/siyuan/kernel"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "3.7.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-862"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-03T21:17:47Z",
"nvd_published_at": "2026-08-03T14:16:28Z",
"severity": "CRITICAL"
},
"details": "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of\u00a0GHSA-69mh-gvh4-8gp7. This link is maintained to preserve external references.\n\n## Original Description\nSiYuan versions before v3.7.3 contain an information disclosure vulnerability in the getHeadingDeleteTransaction, getHeadingLevelTransaction, and getHeadingInsertTransaction endpoints that return rendered block DOM without publish-access checks. Anonymous readers or publish RoleReader tokens can supply a heading block ID to read full rendered content of publish-disabled documents that should be restricted.",
"id": "GHSA-85xq-27m5-59m9",
"modified": "2026-09-03T21:17:48Z",
"published": "2026-08-03T15:32:47Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/siyuan-note/siyuan/security/advisories/GHSA-69mh-gvh4-8gp7"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68587"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/siyuan-before-information-disclosure-via-getheading-transaction"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:H/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:X",
"type": "CVSS_V4"
}
],
"summary": "Duplicate Advisory: SiYuan: Full-content disclosure of publish-disabled documents via getHeading*Transaction endpoints (publish mode): reader-reachable rendered DOM with no publish-access check",
"withdrawn": "2026-09-03T21:17:47Z"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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