Cross-notebook data access via queryBlocks SQL injection
Published Aug 12, 2026 · Updated Aug 12, 2026
SQL injection in SiYuan before 3.7.4 allows attackers to read and write notebook data through crafted imported template columns. The queryBlocks function passes an attacker-controlled template argument to SelectBlocksRawStmt, replacing question marks with strings instead of binding parameters on the read-write database handle. Exploitation requires a victim to import and render a malicious SiYuan document or attribute-view package; stacked statements then permit cross-notebook reads and writes.
Summary
What happened
SQL injection in SiYuan before 3.7.4 allows attackers to read and write notebook data through crafted imported template columns. The queryBlocks function passes an attacker-controlled template argument to SelectBlocksRawStmt, replacing question marks with strings instead of binding parameters on the read-write database handle. Exploitation requires a victim to import and render a malicious SiYuan document or attribute-view package; stacked statements then permit cross-notebook reads and writes.
The record
- CVE
- CVE-2026-72807
- Published
- Aug 12, 2026
- Updated
- Aug 12, 2026
- Vendor
- SiYuan Note
- Product
- SiYuan
- Classifications
- CWE-1336, CWE-89, T1203
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Aug 12, 2026CVE publishedPublication date reported by the CVE source.
- Aug 12, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0 <3.7.4
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Attribute-view queryBlocks proof of conceptfunctional · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo