CVE-2026-71260 esphome CVE debrief

Who should care

ESPHome users, particularly those with sensitive information (e.g. WiFi credentials, API tokens) configured in their ESPHome setup, should prioritize patching to prevent unauthorized access to sensitive information. Security teams and vulnerability management teams should also review the vulnerability and assess their exposure.

Technical summary

The ESPHome web_server component discloses plaintext passwords via its text_json_() function. A text entity configured with mode: password has its JSON 'state' field masked, but the raw password is written to the JSON 'value' field. This allows an attacker on the local network to retrieve plaintext passwords via GET /text/<entity_id> or the /events EventSource stream. The vulnerability affects ESPHome versions up to 2026.7.0-dev.

Defensive priority

ESPHome users should prioritize patching to prevent unauthorized access to sensitive information.

Recommended defensive actions

• Patch ESPHome to the latest version
• Review and update WiFi credentials and API tokens
• Implement additional security measures to protect against unauthorized access
• 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 in ESPHome. Further investigation is needed to determine the full scope of affected systems and potential mitigations. The web_server component's text_json_() function discloses plaintext passwords, allowing an attacker on the local network to retrieve sensitive information via GET /text/<entity_id> or the /events EventSource stream. ESPHome users should verify their deployments and consider additional security measures.

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.