GHSA-PQPF-6VQV-6W92
Vulnerability from github – Published: 2026-08-03 15:32 – Updated: 2026-09-03 21:00
VLAI
Summary
Duplicate Advisory: Unauthenticated SQL execution and REGEXP injection via fullTextSearchAssetContent (publish mode): reader-reachable raw SQL (method 2) and unescaped REGEXP (method 3) on read-write asset-content DB
Details
Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-fph3-ghq9-vw66. This link is maintained to preserve external references.
Original Description
SiYuan versions before v3.7.3 contain SQL injection vulnerabilities in the fullTextSearchAssetContent endpoint reachable by unauthenticated users and publish RoleReader tokens. Attackers can execute arbitrary SQL on the read-write asset-content database via unescaped method parameters and REGEXP clauses to read, modify, or delete cross-notebook data.
Severity
10.0 (Critical)
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c 3.7.3"
},
"package": {
"ecosystem": "Go",
"name": "github.com/siyuan-note/siyuan"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-03T21:00:29Z",
"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"details": "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of\u00a0GHSA-fph3-ghq9-vw66. This link is maintained to preserve external references.\n\n## Original Description\nSiYuan versions before v3.7.3 contain SQL injection vulnerabilities in the fullTextSearchAssetContent endpoint reachable by unauthenticated users and publish RoleReader tokens. Attackers can execute arbitrary SQL on the read-write asset-content database via unescaped method parameters and REGEXP clauses to read, modify, or delete cross-notebook data.",
"id": "GHSA-pqpf-6vqv-6w92",
"modified": "2026-09-03T21:00:29Z",
"published": "2026-08-03T15:32:48Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/siyuan-note/siyuan/security/advisories/GHSA-fph3-ghq9-vw66"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-69083"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/siyuan-before-sql-injection-via-fulltextsearchassetcontent"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/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: Unauthenticated SQL execution and REGEXP injection via fullTextSearchAssetContent (publish mode): reader-reachable raw SQL (method 2) and unescaped REGEXP (method 3) on read-write asset-content DB",
"withdrawn": "2026-09-03T21:00:29Z"
}
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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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