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CVE-2026-36798 Shenzhen Tenda Technology Co., Ltd CVE debrief

CVE-2026-36798 is a MEDIUM severity vulnerability in Shenzhen Tenda Technology Co., Ltd Tenda G0 v15.11.0.5. The vulnerability was discovered in the formSetDebugCfgr function via the enable, level, and module parameters. These vulnerabilities allow attackers to cause a Denial of Service (DoS) via a crafted HTTP request. The vulnerability was published on [cve-org](https://www.cve.org/CVERecord?id=CVE-2026-36798) and has a CVSS score of 6.5.

Vendor
Shenzhen Tenda Technology Co., Ltd
Product
Tenda G0
CVSS
MEDIUM 6.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-09
Original CVE updated
2026-06-10
Advisory published
2026-06-09
Advisory updated
2026-06-10

Who should care

Users of Shenzhen Tenda Technology Co., Ltd Tenda G0 v15.11.0.5 should be aware of this vulnerability and take steps to mitigate it.

Technical summary

The vulnerability is caused by multiple stack overflows in the formSetDebugCfgr function via the enable, level, and module parameters. This allows attackers to cause a Denial of Service (DoS) via a crafted HTTP request.

Defensive priority

MEDIUM

Recommended defensive actions

  • Apply patches or updates provided by the vendor to fix the vulnerability.
  • Limit access to the affected system to trusted users only.
  • Monitor the system for suspicious activity.

Evidence notes

The vulnerability was discovered in the formSetDebugCfgr function via the enable, level, and module parameters.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-36798 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-36798

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

  • CVE-2026-36798 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-36798

    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.