Hundreds of TeslaMate Servers Exposed -Real-Time Vehicle Data Leaks

A security vulnerability has been discovered, affecting hundreds of TeslaMate installations worldwide, which exposes sensitive Tesla vehicle data to unauthorized access.

Cybersecurity researcher Seyfullah KILIÇ has revealed that improperly configured TeslaMate instances are leaking real-time location data, charging patterns, and vehicle information without authentication, creating substantial privacy and security risks for Tesla owners globally.

Widespread Exposure of Tesla Data

TeslaMate, an open-source data logger and visualizer for Tesla vehicles, has become increasingly popular among Tesla enthusiasts seeking to track their vehicles’ performance metrics.

The application connects directly to Tesla’s official API, continuously collecting detailed information including GPS coordinates, charging sessions, battery health data, driving speeds, and temperature readings.

However, the research has uncovered that numerous installations lack proper security configurations, making sensitive data accessible to anyone on the internet.

The vulnerability stems from TeslaMate’s default configuration, which exposes critical endpoints without built-in authentication mechanisms.

The application typically runs on port 4000 for the core interface and port 3000 for Grafana dashboards, both potentially accessible to unauthorized users when deployed on cloud servers without proper security measures.

Technical Analysis and Discovery Methods

The researcher employed sophisticated scanning techniques to identify exposed instances across the internet.

Using masscan for large-scale port discovery, the investigation swept the entire IPv4 address space targeting port 4000.

The scanning process utilized multiple 10Gbps servers to achieve rapid discovery across global networks.

Following initial port discovery, httpx tools filtered results to identify confirmed TeslaMate installations by detecting the application’s distinctive HTTP fingerprints.

Subsequently, custom web crawlers collected exposed data, revealing exact GPS coordinates, vehicle model information, software versions, and detailed trip histories.

Exposed Data Types	Risk Level	Potential Impact
GPS Coordinates	Critical	Location tracking, home address identification
Charging Patterns	High	Daily routine mapping, absence detection
Vehicle Information	Medium	Model identification, software vulnerabilities
Trip Timestamps	High	Schedule prediction, security planning
Battery Status	Medium	Range estimation, charging habits

Security Implications and Mitigation Strategies

The exposed data presents significant physical security risks, enabling malicious actors to map daily routines, identify when vehicles are away from home locations, and determine charging schedules.

The vulnerability particularly affects installations where port 4000 remains publicly accessible without authentication layers.

Security experts recommend implementing immediate protective measures, including basic HTTP authentication, firewall restrictions limiting access to trusted IP addresses, and proper reverse proxy configurations.

Network administrators should bind services to localhost and utilize VPN access for remote monitoring requirements.

Industry Response and Recommendations

The discovery highlights broader security challenges in IoT and connected vehicle ecosystems where convenience often supersedes security considerations.

Organizations deploying TeslaMate in production environments must implement comprehensive access controls, regular security audits, and proper network segmentation to prevent unauthorized data exposure.

This incident highlights the crucial importance of security-by-design principles in open-source automotive applications and the need for user education on proper deployment practices.

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