{"id":6227,"date":"2025-08-18T10:03:37","date_gmt":"2025-08-18T10:03:37","guid":{"rendered":"https:\/\/serisec.com\/index.php\/2025\/08\/18\/hundreds-of-teslamate-installations-leaking-sensitive-vehicle-data-in-real-time\/"},"modified":"2025-08-18T10:03:37","modified_gmt":"2025-08-18T10:03:37","slug":"hundreds-of-teslamate-installations-leaking-sensitive-vehicle-data-in-real-time","status":"publish","type":"post","link":"https:\/\/serisec.com\/index.php\/2025\/08\/18\/hundreds-of-teslamate-installations-leaking-sensitive-vehicle-data-in-real-time\/","title":{"rendered":"Hundreds of TeslaMate Installations Leaking Sensitive Vehicle Data in Real Time"},"content":{"rendered":"

Hundreds of TeslaMate Installations Leaking Sensitive Vehicle Data in Real Time
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A cybersecurity researcher has discovered that hundreds of publicly accessible TeslaMate installations are exposing sensitive Tesla vehicle data without authentication, revealing GPS coordinates<\/a>, charging patterns, and personal driving habits to anyone on the internet.\u00a0<\/p>\n

The vulnerability stems from misconfigured deployments of the popular open-source Tesla data logging tool, which connects to Tesla\u2019s official API to collect comprehensive vehicle telemetry data.<\/p>\n

Key Takeaways<\/mark><\/strong>
1. Hundreds of TeslaMate installations leak real-time Tesla data.
2. The researcher used masscan and httpx to scan port 4000 internet-wide, mapping vulnerable vehicles on teslamap.io.
3. Tesla owners must add authentication, firewalls, and VPN access.<\/pre>\n
GPS and Location Data Leak<\/strong><\/h2>\n
Security researcher Seyfullah KILI\u00c7 conducted an extensive internet-wide scan to identify exposed TeslaMate instances using sophisticated reconnaissance<\/a> techniques.\u00a0<\/p>\n
The methodology involved deploying masscan across multiple 10Gbps servers to sweep the entire IPv4 address space for open port 4000, which hosts TeslaMate\u2019s core application interface.<\/p>\n
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\"TeslaMate<\/figure>\n<\/div>\n
Following the initial discovery phase, the researcher utilized httpx to filter and identify genuine TeslaMate installations by detecting the application\u2019s distinctive HTTP response signatures:<\/p>\n
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\"TeslaMate<\/figure>\n<\/div>\n
The scanning operation successfully identified hundreds of vulnerable instances exposing real-time Tesla<\/a> vehicle data, including precise GPS coordinates, vehicle model information, software versions, charging session timestamps, and detailed location histories.\u00a0<\/p>\n
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\"Exposed
Exposed TeslaMate Instances<\/figcaption><\/figure>\n<\/div>\n
The researcher created<\/a> a demonstration website at teslamap.io to visualize the geographical distribution of exposed vehicles, illustrating the severity of the privacy breach.<\/p>\n
Mitigations<\/strong><\/h2>\n
The fundamental security flaw lies in TeslaMate\u2019s default configuration, which lacks built-in authentication mechanisms for critical endpoints.\u00a0<\/p>\n
When deployed on cloud servers with port 4000 exposed to the internet, the application becomes immediately accessible to unauthorized users worldwide.\u00a0<\/p>\n
Additionally, many installations run Grafana dashboards on port 3000 with default or weak credentials<\/a>, creating multiple attack vectors.<\/p>\n
Tesla owners operating TeslaMate instances must implement immediate security measures to protect their vehicle data. Essential protections include configuring reverse proxy authentication using Nginx:<\/p>\n
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\"TeslaMate<\/figure>\n<\/div>\n
Additional security measures include restricting access through firewall rules<\/a>, binding services to localhost interfaces, and implementing VPN-based access controls.\u00a0<\/p>\n
The research highlights the critical importance of secure deployment practices for Internet of Things (IoT)<\/a> applications, particularly those handling sensitive personal and location data from connected vehicles.<\/p>\n
Boost\u00a0your\u00a0SOC and help your team protect your business with free top-notch threat intelligence:\u00a0Request TI Lookup Premium Trial<\/a>.<\/code><\/strong><\/p>\n
The post Hundreds of TeslaMate Installations Leaking Sensitive Vehicle Data in Real Time<\/a> appeared first on Cyber Security News<\/a>.<\/p>\n<\/div>\n
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Hundreds of TeslaMate Installations Leaking Sensitive Vehicle Data in Real Time A cybersecurity researcher has discovered that hundreds of publicly accessible TeslaMate installations are exposing sensitive Tesla vehicle data without authentication, revealing GPS coordinates, charging patterns, and personal driving habits to anyone on the internet.\u00a0 The vulnerability stems from misconfigured deployments of the popular open-source […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[129,63],"tags":[130],"class_list":["post-6227","post","type-post","status-publish","format-standard","hentry","category-cyber-security","category-cyber-security-news","tag-cyber-security-news"],"_links":{"self":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/6227"}],"collection":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/comments?post=6227"}],"version-history":[{"count":0,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/6227\/revisions"}],"wp:attachment":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/media?parent=6227"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/categories?post=6227"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/tags?post=6227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}