taosdata TDengine up to 3.4.1.6 Parser parUtil.c trimString out-of-bounds write
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.5 | $0-$5k | 0.88 |
Summary
A vulnerability marked as very critical has been reported in taosdata TDengine up to 3.4.1.6. Affected by this issue is the function trimString of the file source/libs/parser/src/parUtil.c of the component Parser. This manipulation causes out-of-bounds write.
The identification of this vulnerability is CVE-2026-62349. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability classified as very critical was found in taosdata TDengine up to 3.4.1.6. Affected by this vulnerability is the function trimString of the file source/libs/parser/src/parUtil.c of the component Parser. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. The CWE definition for the vulnerability is CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
TDengine is an open source, time-series database optimized for Internet of Things devices. In 3.4.1.6 and earlier, source/libs/parser/src/parUtil.c trimString() checks space for only one byte before processing SQL string escape sequences \%, \_, or \x, allowing a one-byte out-of-bounds write to the stack buffer tmpTokenBuf that can cause denial of service and potentially remote code execution. This issue is fixed in version 3.4.1.14.
The advisory is shared at github.com. This vulnerability is known as CVE-2026-62349 since 07/13/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/15/2026).
Upgrading to version 3.4.1.14 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 10.0VulDB Meta Temp Score: 9.5
VulDB Base Score: 10.0
VulDB Temp Score: 9.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Out-of-bounds writeCWE: CWE-787 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Upgrade: TDengine 3.4.1.14
Timeline
07/13/2026 CVE reserved07/15/2026 Advisory disclosed
07/15/2026 VulDB entry created
07/15/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-62349 (🔒)
GCVE (CVE): GCVE-0-2026-62349
GCVE (VulDB): GCVE-100-379369
Entry
Created: 07/15/2026 21:36Changes: 07/15/2026 21:36 (55)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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