PatchSiren cyber security CVE debrief
CVE-2026-54068 siyuan-note CVE debrief
CVE-2026-54068 is a vulnerability in SiYuan, an open-source personal knowledge management system, that allows unauthenticated exfiltration of user note content, tags, asset references, and block attributes. The vulnerability exists in the /api/icon/getDynamicIcon endpoint, which is excluded from authentication. A network-adjacent attacker who knows a valid block ID can exploit this vulnerability.
- Vendor
- siyuan-note
- Product
- siyuan
- CVSS
- MEDIUM 5.9
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-24
- Original CVE updated
- 2026-10-25
- Advisory published
- 2026-06-24
- Advisory updated
- 2026-10-25
Who should care
Administrators and users of SiYuan, especially those with sensitive data stored in the system, should assess exposure and apply patches or updates to version 3.7.0 or later. This includes reviewing system configurations, ensuring security measures are in place, and verifying that the patch or update has been successfully applied. Additionally, users should be aware of the potential risks associated with this vulnerability and take steps to mitigate them.
Why it matters
CVE-2026-54068 allows unauthenticated exfiltration of user data in SiYuan, requiring patching or updates to version 3.7.0 or later.
- Unauthenticated exfiltration of sensitive data
- Potential data breaches due to exploitation
- Need for patching or updates to SiYuan
- Verification of system configuration and security measures
Technical summary
The /api/icon/getDynamicIcon endpoint in SiYuan is excluded from authentication, allowing an unauthenticated network-adjacent attacker to exfiltrate user note content, tags, asset references, and block attributes by exploiting the RenderDynamicIconContentTemplate function. This function executes a Go template that includes the querySQL and queryBlocks functions, which run arbitrary SELECT statements against the SiYuan SQLite database. The vulnerability is fixed in version 3.7.0, and administrators should assess exposure and apply patches or updates.
Defensive priority
Apply patches or updates to SiYuan version 3.7.0 or later to fix the vulnerability.
Recommended defensive actions
- Apply patches or updates to SiYuan version 3.7.0 or later
- Restrict access to the /api/icon/getDynamicIcon endpoint
- Monitor for suspicious activity on the network
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The vulnerability is described in the CVE record and the source reference from GitHub. The /api/icon/getDynamicIcon endpoint is explicitly excluded from authentication, allowing an unauthenticated attacker to exfiltrate sensitive data. This endpoint, when called with type=8 and a valid block id parameter, invokes RenderDynamicIconContentTemplate, which executes a Go template that includes the querySQL and queryBlocks functions. These functions run arbitrary SELECT statements against the SiYuan SQLite database, enabling exfiltration of
Sources and references
Verified primary and authoritative sources
-
CVE-2026-54068 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-54068
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-54068 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-54068
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/siyuan-note/siyuan/security/advisories/GHSA-gcm7-57gf-953c
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.