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CVE-2026-69083 – SQL Injection – SiYuan Note before v3.7.3

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Summary

CVE-2026-69083 is a critical SQL injection vulnerability in SiYuan Note (siyuan-note/siyuan). The flaw resides in the asset-content search endpoint and allows unauthenticated users, or low-privileged publish reader tokens, to execute arbitrary SQL against the asset-content database, resulting in read, modification, or deletion of cross-notebook data. It is rated critical (CVSS v3.1 10.0).

Technical details

  • Root cause: The POST /api/search/fullTextSearchAssetContent handler passes user input to a read-write database handle without proper safeguards. Two distinct flaws exist: raw SQL statements are executed without single-statement validation or read-only guards (unlike the sibling fullTextSearchBlock endpoint), and the REGEXP clause concatenates user input without escaping quotes, enabling SQL breakout.
  • Trigger conditions: The endpoint is reachable in publish mode with reader tokens, or when authentication is disabled.
  • Attack vector: Network; no privileges or user interaction required.
  • Impact: Arbitrary SQL execution on the asset-content database over a statement-stacking-capable driver, allowing an attacker to read, modify, or delete cross-notebook data (full confidentiality and integrity impact).

Affected software

  • SiYuan Note (siyuan-note/siyuan) all versions before v3.7.3 (≤ v3.7.2).

Severity

  • CVSS v3.1 base score: 10.0 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N
  • (CVSS v4.0: 9.9 Critical)

Mitigation and recommended actions

  • Immediate: Upgrade to SiYuan v3.7.3 or later, which patches the vulnerability.
  • If no patch can be applied: Restrict network access to the SiYuan instance and avoid exposing it to untrusted networks. Disable publish mode / anonymous reader access, and ensure authentication is enabled so the affected endpoint is not reachable by unauthenticated clients.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Page title: Access Authorization - SiYuan, 思源笔记
  • Raw response body: exitSiYuan, b3log.org/siyuan

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  • Confirmation of verified exploitable assets
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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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