Tesla Model 3, Cybertruck hackable via network
๐Ÿ“ฒ#cybersecurity#ev-hacking#network-accessFreshcollected in 18m

Tesla Model 3, Cybertruck hackable via network

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๐Ÿ“ฒRead original on Digital Trends

๐Ÿ’กTesla hacks reveal EV cybersecurity flaws impacting AI autonomy like FSD

โšก 30-Second TL;DR

What changed

Hackable via internal network access

Why it matters

Exposes vulnerabilities in AI-reliant autonomous systems, urging fleet operators to enhance network security. Could influence regulatory scrutiny on Tesla's FSD.

What to do next

Test internal network isolation in your AI vehicle simulation frameworks using Tesla research findings.

Who should care:Enterprise & Security Teams

๐Ÿง  Deep Insight

Web-grounded analysis with 5 cited sources.

๐Ÿ”‘ Key Takeaways

  • โ€ขResearchers from Northeastern University discovered that Tesla Model 3 and Cybertruck (2024 models) can be hacked through wireless systems including cellular modems, Wi-Fi, GPS, Bluetooth, and V2X technologies, enabling attackers to track vehicles, disrupt communications, and interfere with network performance[1]
  • โ€ขIMSI Catching is a primary attack vector where hackers exploit the International Mobile Subscriber Identity authentication process, particularly when devices are first brought online or reattach to networks, potentially compromising backend communication with Tesla servers[1]
  • โ€ขVulnerabilities exist in SMS and emergency services systems that could allow hackers to spam messages, issue fake alerts, and conduct denial of service attacks[1]

๐Ÿ› ๏ธ Technical Deep Dive

  • Attack Vector - IMSI Catching: Exploits the International Mobile Subscriber Identity (IMSI) authentication mechanism used by cellular networks. Every network subscriber receives a unique IMSI number for identification and authentication. While Temporary Mobile Subscriber Identities typically mask IMSI numbers during normal operation, they become exposed during device initialization or network reattachment, creating exploitation windows[1]
  • Wireless System Architecture: Tesla vehicles integrate multiple wireless technologies including cellular modems, Wi-Fi modems for continuous connectivity, GPS for navigation, Bluetooth antennas for phone connectivity, and V2X (vehicle-to-everything) technologies supporting safety features[1]
  • Communication Impact: Successful exploitation does not necessarily grant remote vehicle control but can disrupt backend communications with Tesla servers and compromise user privacy[1]
  • SMS and Emergency Services Vulnerabilities: Attackers can leverage SMS systems and emergency services channels to conduct spam campaigns, deploy fake alerts, and execute denial of service attacks[1]
  • Hardware Component Suppliers: The cellular modem stack vulnerabilities stem from third-party suppliers Qualcomm and Quectel, indicating that security weaknesses may not be isolated to Tesla's software architecture but embedded in foundational hardware components[1]

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

This research underscores critical cybersecurity challenges for the automotive industry as vehicles become increasingly connected. The vulnerabilities identified in Tesla's flagship models suggest that all modern connected vehicles face similar risks from wireless system exploitation. The involvement of third-party component suppliers (Qualcomm and Quectel) indicates that security improvements may require industry-wide coordination across hardware manufacturers, not just individual automakers. As vehicles integrate more V2X technologies for autonomous driving and safety features, the attack surface expands significantly. This research may accelerate regulatory scrutiny of connected vehicle security standards and prompt manufacturers to implement more robust authentication mechanisms and network isolation protocols. The findings also highlight the need for ongoing security research and responsible disclosure practices as the automotive industry transitions toward autonomous and connected vehicle ecosystems.

โณ Timeline

2024
Northeastern University researchers test security vulnerabilities on 2024 Tesla Model 3 and Cybertruck models with vehicles loaned by Consumer Reports
2026-02
Northeastern University publishes research findings demonstrating IMSI Catching and SMS/emergency services vulnerabilities in Tesla vehicles; Tesla acknowledges weaknesses stem from third-party cellular modem suppliers

๐Ÿ“Ž Sources (5)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. news.northeastern.edu
  2. techxplore.com
  3. informationweek.com
  4. timesofindia.indiatimes.com
  5. sec.gov

Researchers demonstrate that Tesla Model 3 and Cybertruck can be manipulated through internal network access. This raises significant cybersecurity concerns for modern connected vehicles.

Key Points

  • 1.Hackable via internal network access
  • 2.Affects Model 3 and Cybertruck models
  • 3.Highlights cybersecurity risks in EVs
  • 4.Concerns for connected vehicle safety

Impact Analysis

Exposes vulnerabilities in AI-reliant autonomous systems, urging fleet operators to enhance network security. Could influence regulatory scrutiny on Tesla's FSD.

Technical Details

Manipulation achieved through internal network, bypassing external protections. Demonstrated on real vehicles, emphasizing connected EV risks.

๐Ÿ“ฐ

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Original source: Digital Trends โ†—