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Analyze » Amtrak » AMT1776407118

Incident Score: Analysis & Impact (AMT1776407118)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-79
Company Score Before Incident644 / 1000
Company Score After Incident565 / 1000
INCIDENT NUMBERAMT1776407118
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDOver 2 million email addresses,...
INCIDENT DATE31/03/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Amtrak's Breach 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 Amtrak 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 Amtrak breach identified under incident ID AMT1776407118.

The analysis begins with a detailed overview of Amtrak's information like the linkedin page: https://www.linkedin.com/company/amtrak, the number of followers: 194095, the industry type: Rail Transportation and the number of employees: 13811 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 644 and after the incident was 565 with a difference of -79 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 Amtrak and their customers.

Amtrak recently reported "Amtrak Data Breach Exposes Over 2 Million Email Addresses in ShinyHunters Attack", a noteworthy cybersecurity incident.

Earlier this month, U.S.

The disruption is felt across the environment, and exposing Over 2 million email addresses, names, physical addresses, and customer support ticket details, with nearly Over 2 million records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as The incident highlights the risks of overlapping personal data across platforms, as threat actors increasingly exploit aggregated information for targeted attacks.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating threat actor ShinyHunters attributed to the breach and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating data breach attributed to cybercriminal group ShinyHunters. Under the Credential Access tactic, the analysis identified Compromise Accounts (T1586) with moderate to high confidence (80%), supported by evidence indicating motivation such as Credential harvesting and identity-related fraud and Gather Victim Identity Information: Email Addresses (T1589.002) with high confidence (90%), supported by evidence indicating over 2 million email addresses exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, physical addresses, and customer support ticket details exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating customer support ticket details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach attributed to ShinyHunters, known for large-scale data theft and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating shinyHunters distributes stolen records on underground forums. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating high-profile breaches reinforcing concerns over data security and Disk Wipe: Disk Content Wipe (T1561.002) with lower confidence (30%), supported by evidence indicating no official statement on breach impact or mitigation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Compromise Accounts (80%)
Gather Victim Identity Information: Email Addresses (90%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (40%)
Disk Wipe: Disk Content Wipe (30%)

Sources & References