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Analyze » NASCAR » DAVCAECHAPOWKASFILMARSOLNAS1770898846

Incident Score: Analysis & Impact (DAVCAECHAPOWKASFILMARSOLNAS1770898846)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-45
Company Score Before Incident771 / 1000
Company Score After Incident726 / 1000
INCIDENT NUMBERDAVCAECHAPOWKASFILMARSOLNAS1770898846
Type of Cyber IncidentCyber Attack
ATTACK VECTORSupply Chain Attack, Phishing, Exploiting Unpatched Systems, AI-Driven Attacks, Vishing
DATA EXPOSED62M students and 9.5M teachers...
INCIDENT DATE24/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of NASCAR's Cyber Attack 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 NASCAR 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 NASCAR breach identified under incident ID DAVCAECHAPOWKASFILMARSOLNAS1770898846.

The analysis begins with a detailed overview of NASCAR's information like the linkedin page: https://www.linkedin.com/company/nascar, the number of followers: 97064, the industry type: Spectator Sports and the number of employees: 2468 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 771 and after the incident was 726 with a difference of -45 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 NASCAR and their customers.

PowerSchool recently reported "Ransomware Trends and High-Profile Attacks (2024-2025)", a noteworthy cybersecurity incident.

Ransomware remains a critical threat to governments, businesses, and critical infrastructure, disrupting healthcare, fuel distribution, retail, and identity security.

The disruption is felt across the environment, affecting Healthcare, Fuel distribution and Retail, and exposing 62M students and 9.5M teachers (PowerSchool), 5.6M patient records (Yale New Haven Health) and 1TB of data (NASCAR), with nearly ['62M', '9.5M', '5.6M', '1TB', '2.7M', '193M', '16.6M'] records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating supply Chain Attacks – Threat actors target software vendors (e.g., SolarWinds, Kaseya, MoveIt Transfer), Phishing (T1566) with moderate to high confidence (80%), supported by evidence indicating phishing remains a primary infection vector, and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating exploiting Unpatched Systems – Most ransomware exploits known flaws in outdated software. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating phishing remains a primary infection vector and Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating ransomware-as-a-Service (RaaS) – Cybercriminals lease pre-built ransomware tools. Under the Persistence tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating 2021 Kaseya attack (1,500+ MSP customers affected). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating exploiting Unpatched Systems – Known flaws in outdated software. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating ransomware-as-a-Service (RaaS) – Pre-built ransomware tools and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating aI-driven attacks enhance reconnaissance and attack automation. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating phishing and AI-driven attacks as primary vectors and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating supply chain attacks compromise downstream victims. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating aI-driven attacks enhance reconnaissance. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (80%), supported by evidence indicating supply chain attacks (e.g., SolarWinds, Kaseya) compromise multiple victims. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 62M students and 9.5M teachers (PowerSchool), 193M victims (Change Healthcare) and Data from Network Shared Drive (T1039) with moderate to high confidence (70%), supported by evidence indicating supply chain attacks compromise downstream victims data. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating lockBit 5.0 uses private negotiation portals for targeted extortion. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 1TB of data stolen (NASCAR), data exfiltration confirmed in multiple incidents and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating triple extortion tactics include data theft threats. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strains (Clop, Medusa, LockBit) encrypt data, Defacement (T1491) with moderate confidence (50%), supported by evidence indicating operational disruptions (e.g., Marks & Spencer profit drop), and Service Stop (T1489) with moderate to high confidence (70%), supported by evidence indicating disrupted loan services (LoanDepot), service disruptions (Ingram Micro). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Phishing (80%)
Exploit Public-Facing Application (70%)
Execution
User Execution (70%)
Command and Scripting Interpreter (60%)
Persistence
Supply Chain Compromise: Compromise Software Supply Chain (80%)
Privilege Escalation
Exploitation for Privilege Escalation (60%)
Defense Evasion
Obfuscated Files or Information (70%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
Brute Force (50%)
Credentials from Password Stores (60%)
Discovery
Account Discovery (70%)
Lateral Movement
Exploitation of Remote Services (80%)
Collection
Data from Local System (90%)
Data from Network Shared Drive (70%)
Command and Control
Application Layer Protocol (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (60%)
Impact
Data Encrypted for Impact (90%)
Defacement (50%)
Service Stop (70%)