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Analyze » RevolutionParts » REV0821208112425

Incident Score: Analysis & Impact (REV0821208112425)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-31
Company Score Before Incident752 / 1000
Company Score After Incident721 / 1000
Company LinkView RevolutionParts Profile
INCIDENT NUMBERREV0821208112425
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDFull Names, Phone Numbers, Email...
INCIDENT DATE23/11/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of RevolutionParts'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 RevolutionParts 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 RevolutionParts breach identified under incident ID REV0821208112425.

The analysis begins with a detailed overview of RevolutionParts's information like the linkedin page: https://www.linkedin.com/company/revolutionparts, the number of followers: 13955, the industry type: Software Development and the number of employees: 148 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 752 and after the incident was 721 with a difference of -31 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 RevolutionParts and their customers.

Revolution Parts recently reported "Data Breach at Revolution Parts Affecting 5.1 Million Customers", a noteworthy cybersecurity incident.

Arizona-based automotive parts and accessories e-commerce platform Revolution Parts had data from more than 5.1 million of its customers allegedly exfiltrated following a cyberattack.

The disruption is felt across the environment, and exposing Full Names, Phone Numbers and Email Addresses, with nearly 5.1 million 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 Exploit Public-Facing Application (T1190) with moderate to high confidence (85%), supported by evidence indicating breach likely originated from **account setup pages and purchase forms**. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating compromised data included **full names, phone numbers, email addresses, IP addresses, home addresses, and device details**. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with high confidence (90%), supported by evidence indicating **data exfiltration such as true**, **5.1 million records exposed**. Under the Impact tactic, the analysis identified Identity Theft (T1659) with high confidence (95%), supported by evidence indicating **identity theft risk such as High (Identity profiling and targeted scams likely)** and Account Access Removal (T1531) with moderate to high confidence (70%), supported by evidence indicating **targeted intrusions against automotive OEMs (potential)**. Under the Reconnaissance tactic, the analysis identified Gather Victim Identity Information (T1591) with high confidence (95%), supported by evidence indicating **device details, IP addresses, home addresses** collected for **targeted scams/phishing** and Gather Victim Network Information: IP Addresses (T1589.002) with high confidence (90%), supported by evidence indicating **IP addresses** compromised in breach. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with moderate confidence (60%), supported by evidence indicating **device details** exposed (potential for credential/key exposure). Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (75%), supported by evidence indicating **account setup pages** exploited (possible abuse of legitimate user accounts). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References