PatchSiren cyber security CVE debrief
CVE-2026-36772 Shenzhen Tenda Technology Co., Ltd CVE debrief
A stack overflow vulnerability was discovered in the Tenda W3 Wireless Router v1.0.0.3(2204) in the wl_radio parameter of the formwrlSSIDget function. This allows attackers to cause a Denial of Service (DoS) via a crafted input. The vulnerability has a CVSS score of 6.5 and a severity of MEDIUM.
- Vendor
- Shenzhen Tenda Technology Co., Ltd
- Product
- Tenda W3 Wireless Router
- 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 W3 Wireless Router v1.0.0.3(2204) should be aware of this vulnerability and take necessary precautions.
Technical summary
The vulnerability is caused by a stack overflow in the wl_radio parameter of the formwrlSSIDget function. This can be exploited by attackers to cause a Denial of Service (DoS).
Defensive priority
MEDIUM
Recommended defensive actions
- Update to a patched version of the Tenda W3 Wireless Router if available.
- Limit access to the router's management interface.
- Monitor for suspicious activity.
Evidence notes
The vulnerability was discovered and reported by an unknown source.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-36772 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-36772
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-36772 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-36772
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/xhh0124/SemVulLLM/tree/main/W3/formwrlSSIDget
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.