taosdata TDengine up to 3.4.0.0/3.4.1.5/3.4.1.6 RPC integer underflow

CVSS Meta Temp Score
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in taosdata TDengine up to 3.4.0.0/3.4.1.5/3.4.1.6. Affected by this vulnerability is an unknown functionality of the component RPC Handler. This manipulation causes integer underflow. This vulnerability is registered as CVE-2026-42542. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic was found in taosdata TDengine up to 3.4.0.0/3.4.1.5/3.4.1.6. Affected by this vulnerability is an unknown functionality of the component RPC Handler. The manipulation with an unknown input leads to a integer underflow vulnerability. The CWE definition for the vulnerability is CWE-191. The product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result. As an impact it is known to affect availability. The summary by CVE is:

TDengine is an open source, time-series database optimized for Internet of Things devices. In versions 3.4.0.0 through 3.4.1.5, an unauthenticated remote attacker can crash the taosd server process by sending a single crafted RPC packet. No credentials or prior session state are required. Version 3.4.1.6 fixes the issue.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-42542 since 04/28/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.

Upgrading to version 3.4.1.6 eliminates this vulnerability. The upgrade is hosted for download at github.com.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-36136). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (GitHub_M): 🔒

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Integer underflow
CWE: CWE-191 / CWE-189
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: TDengine 3.4.1.6

Timelineinfo

04/28/2026 CVE reserved
06/11/2026 +44 days Advisory disclosed
06/11/2026 +0 days VulDB entry created
06/11/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-vg95-j2hf-hvjx
Status: Confirmed

CVE: CVE-2026-42542 (🔒)
GCVE (CVE): GCVE-0-2026-42542
GCVE (VulDB): GCVE-100-370315
EUVD: 🔒

Entryinfo

Created: 06/11/2026 08:00
Updated: 06/11/2026 20:37
Changes: 06/11/2026 08:00 (65), 06/11/2026 20:37 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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