CVE-2026-42542 (GCVE-0-2026-42542)
Vulnerability from cvelistv5 – Published: 2026-06-10 20:32 – Updated: 2026-06-11 16:15
VLAI
EPSS
VEX
Title
TDengine has an integer underflow in uvConnMayGetUserInfo() allows unauthenticated remote crash (DoS)
Summary
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.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-191 - Integer Underflow (Wrap or Wraparound)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/taosdata/TDengine/security/adv… | x_refsource_CONFIRM |
| https://github.com/taosdata/TDengine/releases/tag… | x_refsource_MISC |
Impacted products
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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