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PatchSiren cyber security CVE debrief

CVE-2026-62351 taosdata CVE debrief

TDengine, a time-series database for IoT devices, had an issue in versions prior to 3.4.1.15. In the `transDecompressMsg()` function, located in `source/libs/transport/src/transComm.c`, an unauthenticated out-of-bounds read, uncontrolled allocation, integer underflow, and server crash could occur. This happened because the function read `STransCompMsg.contLen` when `pHead->comp == 1` without validating the presence of the 8-byte `STransCompMsg` structure in the RPC packet. The issue is fixed in version 3.4.1.15.

Vendor
taosdata
Product
TDengine
CVSS
HIGH 7.5
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 TDengine deployments should assess their exposure and prioritize verification and potential upgrades. IoT device administrators and security teams should also be aware of this vulnerability and its potential impact.

Why it matters

CVE-2026-62351 is a high-severity vulnerability in TDengine that could lead to server crashes and unexpected behavior. Defenders should prioritize verification, upgrades, and monitoring to mitigate potential risks.

  • Potential server crashes due to unauthenticated out-of-bounds reads and uncontrolled allocations
  • Possible integer underflows leading to unexpected behavior
  • Need for verification of TDengine version and potential upgrades to 3.4.1.15
  • Importance of monitoring for unusual server behavior and implementing compensating controls

Technical summary

The `transDecompressMsg()` function in TDengine's `source/libs/transport/src/transComm.c` is vulnerable to an unauthenticated out-of-bounds read, uncontrolled allocation, integer underflow, and server crash. This occurs when the function reads `STransCompMsg.contLen` when `pHead->comp == 1` without validating the presence of the 8-byte `STransCompMsg` structure in the RPC packet. The issue affects TDengine versions prior to 3.4.1.15 and can lead to server crashes and unexpected behavior. Defenders should prioritize verifying their TDengine version and upgrading to 3.4.1.15 if necessary.

Defensive priority

Defenders should prioritize verifying their TDengine version and upgrading to 3.4.1.15 if necessary. They should also monitor for unusual server behavior and implement compensating controls to detect potential exploitation attempts.

Recommended defensive actions

  • Verify TDengine version and upgrade to 3.4.1.15 if necessary
  • Monitor for unusual server behavior
  • Implement compensating controls 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
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details about the vulnerability, including its description and CVSS score. A GitHub security advisory also discusses the issue. Defenders should verify the presence of TDengine and review version information to assess potential exposure. Evidence is limited to public CVE and NVD information; further verification tasks are recommended.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-62351 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-62351

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-62351 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-62351

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

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.