Incident Score: Analysis & Impact (ALPCOA1769923964)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Coastal Automotive, LLC's Vulnerability and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Coastal Automotive, LLC Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Coastal Automotive, LLC breach identified under incident ID ALPCOA1769923964.
The analysis begins with a detailed overview of Coastal Automotive, LLC's information like the linkedin page: https://www.linkedin.com/company/coastal-automotive-llc, the number of followers: 1421, the industry type: Automotive and the number of employees: 73 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 754 and after the incident was 740 with a difference of -14 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on Coastal Automotive, LLC and their customers.
Unnamed company (GDPR fine) recently reported "Cybersecurity Roundup: Zero-Days, Privacy Fines, AI Vulnerabilities, and Exposed Criminal Data", a noteworthy cybersecurity incident.
The past week brought significant developments in cybersecurity, from high-profile vulnerability discoveries to regulatory actions and AI-related risks, including zero-day exploits in automotive systems, GDPR fines, AI prompt injection vulnerabilities, and exposed cybercrimina...
The disruption is felt across the environment, affecting Tesla infotainment systems, EV chargers (Alpitronic HYC50) and Automotive Grade Linux, and exposing Customer loyalty data (email addresses, phone numbers), 149 million unique login credentials (social media, banking, government accounts) and Private calendar details (via AI prompt injection), with nearly ['10.5 million (GDPR violation)', '149 million (exposed credentials database)'] records at risk, plus an estimated financial loss of €3.5 million fine.
In response, moved swiftly to contain the threat with measures like Google patched the Gemini AI prompt injection vulnerability and Exposed credentials database secured after nearly a month, and began remediation that includes HackerOne introduced Good Faith AI Research Safe Harbor framework and Trend Micro’s Zero Day Initiative awarded prizes for zero-day discoveries.
The case underscores how Ongoing (for exposed credentials database), Resolved (for patched vulnerabilities), teams are taking away lessons such as Automotive systems are increasingly vulnerable to zero-day exploits, AI systems introduce novel attack surfaces requiring dedicated security controls and Credential theft remains a persistent threat even among malicious actors, and recommending next steps like Implement robust security testing for automotive software and EV systems, Enhance AI security controls to prevent prompt injection attacks and Adopt safe harbor frameworks for ethical AI research.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including out-of-bounds write flaw in Alpitronic HYC50 EV charger, and three separate flaws in Automotive Grade Linux and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating time-of-Check to Time-of-Use vulnerability in Alpitronic HYC50 EV charger. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating full takeover of Tesla’s infotainment system by Synacktiv and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating used to install Doom via Time-of-Check to Time-of-Use vulnerability. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating full takeover of Tesla’s infotainment system. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating 149 million unique login credentials exposed via infostealer malware. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating private calendar details leaked via AI prompt injection and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating customer loyalty data (email addresses, phone numbers) shared without consent. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 149 million credentials exposed in publicly accessible database and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating customer loyalty data shared with social network for targeted advertising. Under the Impact tactic, the analysis identified Defacement (T1491) with moderate confidence (50%), supported by evidence indicating used to install Doom on Alpitronic HYC50 EV charger. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Coastal Automotive, LLC Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/coastal-automotive-llc/incident/ALPCOA1769923964
- Coastal Automotive, LLC CyberSecurity Rating page: https://www.rankiteo.com/company/coastal-automotive-llc
- Coastal Automotive, LLC Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/alpcoa1769923964-alpitronic-automotive-grade-linux-vulnerability-january-2026/
- Coastal Automotive, LLC CyberSecurity Score History: https://www.rankiteo.com/company/coastal-automotive-llc/history
- Coastal Automotive, LLC CyberSecurity Incident Source: https://www.theregister.com/2026/01/25/pwn2own_automotive_2026_identifies_76_0days/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf