PatchSiren cyber security CVE debrief
CVE-2026-62353 taosdata CVE debrief
TDengine, a time-series database for IoT devices, had an issue in versions prior to 3.4.1.14 where an authenticated user could submit a SQL query that would cause the server to crash and potentially leak memory due to improper handling of SQL string literals. This issue is fixed in version 3.4.1.14. The vulnerability allows an authenticated user to crash the server and potentially leak adjacent memory by submitting a SQL query with a malformed string literal. The issue was addressed by fixing the tGetToken() function in the parTokenizer.c file to properly handle trailing backslashes in SQL string literals.
- Vendor
- taosdata
- Product
- TDengine
- CVSS
- MEDIUM 5.4
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-15
- Original CVE updated
- 2026-10-24
- Advisory published
- 2026-07-15
- Advisory updated
- 2026-10-24
Who should care
Defenders responsible for IoT devices and time-series databases, specifically those using TDengine, should assess exposure and verify their version to ensure they are running a version that is not vulnerable. They should also monitor server stability and memory usage to detect potential security incidents.
Why it matters
Defenders should care about this vulnerability as it can cause a server crash and potential memory leak in TDengine, a time-series database used in IoT devices. The issue can be addressed by upgrading to version 3.4.1.14.
- Server crash and potential memory leak
- Verification of TDengine version and upgrade to 3.4.1.14
- Monitoring server stability and memory usage
Technical summary
TDengine, a time-series database optimized for Internet of Things devices, had an issue in versions prior to 3.4.1.14. An authenticated user who can submit SQL queries could crash the server and potentially leak adjacent memory due to improper handling of SQL string literals in the tGetToken() function. This issue is fixed in version 3.4.1.14 by properly handling trailing backslashes in SQL string literals. The vulnerability allows an authenticated user to crash the server and potentially leak adjacent memory by submitting a SQL query with a malformed string literal.
Defensive priority
Defenders should prioritize verifying their TDengine version and upgrading to 3.4.1.14 if necessary.
Recommended defensive actions
- Verify TDengine version and upgrade to 3.4.1.14 if necessary
- Restrict SQL query submissions to authenticated users
- Monitor server stability and memory usage
- 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 issue was reported in the CVE record and NVD vulnerability detail page. The fix is mentioned in the CVE description. The CVE record was published on 2026-07-15T19:18:38.073Z and has not been modified since then. The NVD detail page provides additional information on the vulnerability and its impact. The vulnerability is fixed in version 3.4.1.14 of TDengine.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-62353 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-62353
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-62353 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-62353
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/taosdata/TDengine/security/advisories/GHSA-5r9p-3j4f-gmgp
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.