Description

DEEBOT PRO M1 and DEEBOT PRO K1VAC leave the web server for debugging purposes enabled. The floor map and log information stored on the affected products may be retrieved.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "7.5",
  "pubDate": "2026-08-10T09:17:22.297Z",
  "pubdate": "2026-08-10T09:17:22.297Z",
  "executiveSummary": "An insecure configuration vulnerability has been identified in the DEEBOT PRO M1 and DEEBOT PRO K1VAC robotic systems, where a diagnostic web server intended strictly for debugging purposes remains active in standard operational deployments. This architectural oversight exposes sensitive internal application data directly over the network.\nThe primary impact of this vulnerability involves the unauthorized disclosure of confidential operational data, specifically including proprietary floor maps generated during navigation and detailed system log information. The exposure of internal floor plans presents significant privacy risks regarding physical environment mapping, while log files may expose secondary implementation details or operational states.\nThe affected products are the DEEBOT PRO M1 and DEEBOT PRO K1VAC. The risk implications are severe due to the potential leakage of spatial intelligence and telemetry data to unauthorized entities sharing the same network segment. Attacker capabilities are limited to passive or active information retrieval through direct interaction with the exposed web server interface.\nExploitation of this vulnerability requires network accessibility to the targeted device's debugging interface, typically operating over local network boundaries without requiring specialized authentication mechanisms, given that the service was designed purely for internal engineering diagnostics.",
  "technicalDetails": "The root cause of the vulnerability stems from the persistence of a debugging web server component within production builds of the firmware for the DEEBOT PRO M1 and DEEBOT PRO K1VAC products. During development and testing phases, developers frequently provision auxiliary HTTP or diagnostic servers to facilitate real-time monitoring of application state, sensor telemetry, and pathfinding algorithms. However, failure to strip, conditionally compile, or explicitly disable these debugging mechanisms prior to releasing firmware images into production environments results in persistent service exposure.\nThe vulnerable component is the embedded debugging web service running on the affected devices. This service is typically bound to network interfaces accessible via the local area network, exposing HTTP endpoints that serve internal application state without enforcing strict access controls or requiring authentication credentials. Consequently, any client capable of routing packets to the device's IP address can issue HTTP requests directly to the debugging endpoints.\nThe attack flow proceeds as follows. First, an adversary performs network reconnaissance to identify active DEEBOT PRO M1 or DEEBOT PRO K1VAC instances residing on the local network segment. Upon discovering a live host, the attacker probes known or discoverable HTTP ports associated with the diagnostic web server. By issuing standard HTTP GET requests to specific API routes or resource paths handled by the debugging service, the attacker bypasses standard authorization boundaries because the diagnostic interface lacks access enforcement.\nOnce the HTTP requests are processed by the vulnerable web server component, the underlying application logic retrieves internal data structures from system memory or local storage. This includes sensitive operational artifacts such as spatial floor maps utilized for autonomous navigation and comprehensive diagnostic log files containing runtime execution data. The server serializes these resources and transmits them in the HTTP response payload back to the requesting client.\nThe post-exploitation impact is characterized by the complete confidentiality breach of environment mapping data and system telemetry. Adversaries can reconstruct architectural floor plans of the deployment site, potentially analyzing room layouts, access points, and spatial dimensions. Furthermore, harvested log information may reveal internal network configurations, firmware versions, or supplementary operational metadata that could inform subsequent multi-stage attacks against the local ecosystem."
}