CVE-2026-5567 Tenda CVE debrief

Who should care

Network administrators and security teams responsible for Tenda M3 devices, particularly those using version 1.0.0.10, should be aware of this vulnerability and take immediate action to mitigate potential risks. IT teams managing network infrastructure, cybersecurity professionals, and incident response teams should prioritize remediation efforts and monitor for potential exploitation attempts.

Technical summary

The vulnerability is caused by a buffer overflow in the setAdvPolicyData function of the /goform/setAdvPolicyData component. This can be exploited remotely by manipulating the policyType argument. The CVSS score for this vulnerability is 7.4, indicating a high severity level. The vulnerability is classified under CWE-119 and CWE-120. Affected product deployments should be identified and prioritized for patching or mitigation. The exploit has been published, increasing the urgency for remediation.

Defensive priority

High

Recommended defensive actions

• Apply patches or updates provided by the vendor as soon as possible
• Implement compensating controls such as network segmentation or access restrictions
• Monitor for suspicious activity related to the affected component
• Conduct regular vulnerability assessments and penetration testing
• Consider implementing a web application firewall (WAF) to detect and prevent attacks
• Review and update incident response plans to include procedures for handling potential exploitation attempts
• Perform a thorough review of network logs and system activity to detect any signs of exploitation

Evidence notes

The CVE record was published on 2026-04-05T13:17:14.707Z and was last modified on 2026-07-24T09:10:00.153Z. The NVD entry is currently Analyzed. The vulnerability has been publicly disclosed and an exploit has been published. Evidence suggests that the vulnerability affects Tenda M3 version 1.0.0.10. However, the exact scope of affected deployments and potential impact is not fully clear. Defenders should verify the presence of affected products in their environments and prioritize remediation efforts.

Sources and 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.