PatchSiren cyber security CVE debrief
CVE-2026-109169 LogicalDOC CVE debrief
LogicalDOC Community Edition through 9.3 contains a SQL injection vulnerability via the firstLetter parameter of TagsDataServlet, allowing low-privileged authenticated users to execute crafted SQL and read sensitive user data. This vulnerability enables attackers to inject UNION SELECT statements and retrieve usernames, email addresses, and password hashes from ld_user. Defenders should assess exposure, apply patches or mitigations, and monitor for suspicious activity to minimize potential impacts.
- Vendor
- LogicalDOC
- Product
- LogicalDOC Community Edition
- CVSS
- HIGH 7.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-10-12
- Original CVE updated
- 2026-10-12
- Advisory published
- 2026-10-12
- Advisory updated
- 2026-10-12
Who should care
Defenders responsible for LogicalDOC Community Edition deployments should assess exposure and apply patches or mitigations. System administrators and security teams should verify if their systems are running affected versions and take necessary actions to restrict access to TagsDataServlet and monitor for suspicious activity.
Why it matters
The SQL injection vulnerability in LogicalDOC Community Edition through 9.3 allows low-privileged authenticated users to execute crafted SQL and read sensitive user data. Defenders should prioritize verifying exposure, applying patches, and monitoring for suspicious activity to minimize potential impacts.
- Read sensitive user data, including usernames, email addresses, and password hashes.
- Potential lateral movement within the network if exploitation is successful.
- Required verification of exposure and patch application for affected systems.
- Monitoring for suspicious SQL queries to detect potential exploitation attempts.
Technical summary
The vulnerability exists in the TagsDataServlet of LogicalDOC Community Edition through 9.3, where the firstLetter parameter is vulnerable to SQL injection. Low-privileged authenticated users can inject UNION SELECT statements to read sensitive user data, such as usernames, email addresses, and password hashes. The vulnerability allows attackers to execute crafted SQL and retrieve sensitive information from the ld_user table. Defenders should prioritize verifying exposure, applying patches, and monitoring for suspicious SQL queries to minimize potential impacts.
Defensive priority
Defenders should prioritize verifying exposure and applying patches, focusing on restricting access to TagsDataServlet and monitoring for suspicious SQL queries.
Recommended defensive actions
- Verify exposure by checking if the system is running LogicalDOC Community Edition version 9.3 or earlier.
- Apply patches by updating to a version beyond 9.3 or applying the provided patch commit.
- Restrict access to TagsDataServlet to minimize the attack surface.
- Monitor for suspicious SQL queries and implement additional security measures to detect potential exploitation attempts.
- 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.
Evidence notes
The CVE record and source item provide details on the SQL injection vulnerability in LogicalDOC Community Edition through 9.3. The vulnerability allows low-privileged authenticated users to execute crafted SQL via the firstLetter parameter of TagsDataServlet.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-109169 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-109169
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-109169 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-109169
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
LogicalDOC Community Edition through 9.3 SQL Injection via tags.xml firstLetter
Unverified legacy reference
URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/109xxx/CVE-2026-109169.json
cve_program_cvelist_v5
-
Source reference
Unverified legacy reference
URL: https://github.com/logicaldoc/community/discussions/119
Supplemental source - technical-description
-
Source reference
Unverified legacy reference
URL: https://github.com/logicaldoc/community/commit/8428bfb93f89ab5773019299d17d643c075c4aee
Supplemental source - patch
-
Source reference
Unverified legacy reference
URL: https://github.com/logicaldoc/community/blob/9.3/logicaldoc-core/src/main/java/com/logicaldoc/core/document/HibernateDocumentDAO.java
Supplemental source - technical-description
-
Source reference
Unverified legacy reference
URL: https://github.com/logicaldoc/community/blob/9.3/logicaldoc-webapp/src/main/java/com/logicaldoc/web/data/TagsDataServlet.java
Supplemental source - technical-description
-
Source reference
Unverified legacy reference
URL: https://github.com/logicaldoc/community
Supplemental source - product
-
Source reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/logicaldoc-community-edition-through-9.3-sql-injection-via-tags-xml-firstletter
Supplemental source - third-party-advisory
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.