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Analyze » ResiliAnt » RES1780403193

Incident Score: Analysis & Impact (RES1780403193)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-18
Company Score Before Incident750 / 1000
Company Score After Incident732 / 1000
INCIDENT NUMBERRES1780403193
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSED700GB of data (backups, emails,...
INCIDENT DATE31/12/2024
STATUSOngoing (FBI investigation)

Key Highlights From The Incident Analysis

  • Timeline of ResiliAnt'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 ResiliAnt 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 ResiliAnt breach identified under incident ID RES1780403193.

The analysis begins with a detailed overview of ResiliAnt's information like the linkedin page: https://www.linkedin.com/company/resiliant, the number of followers: 322, the industry type: Computer and Network Security and the number of employees: 13 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 750 and after the incident was 732 with a difference of -18 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 ResiliAnt and their customers.

Los Angeles County Metropolitan Transportation Authority (LA Metro) recently reported "Iranian Hackers Breach LA Transit System, Steal 700GB of Data", a noteworthy cybersecurity incident.

A cyberattack on the Los Angeles County Metropolitan Transportation Authority (LA Metro) has been attributed to Iranian government-affiliated hackers.

The disruption is felt across the environment, affecting Online services, TAP Mobile App and Internal systems, and exposing 700GB of data (backups, emails, internal files).

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (FBI investigation).

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 confidence (60%), supported by evidence indicating transportation systems rely on legacy infrastructure, third-party supply chains and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating third-party supply chain vulnerabilities mentioned as root cause. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating attackers deleted virtual machines, databases, and backups to hinder recovery. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate confidence (50%), supported by evidence indicating attackers exfiltrated emails and internal files, suggesting access to accounts. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating attackers accessed backups, emails, and internal files, implying privileged access. Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1070) with moderate to high confidence (70%), supported by evidence indicating attackers deleted virtual machines, databases, and backups to hinder recovery and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating disruption of online services and fare loading via TAP Mobile App. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating attackers accessed emails and internal files, suggesting credential compromise. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (50%), supported by evidence indicating attackers exfiltrated emails and internal files, implying discovery of accounts. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 700GB of data (backups, emails, internal files) exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 700GB of data exfiltrated and leaked online. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate to high confidence (80%), supported by evidence indicating attackers deleted virtual machines, databases, and backups, Defacement (T1491) with moderate to high confidence (70%), supported by evidence indicating attackers released a video documenting their intrusion, and Endpoint Denial of Service (T1499) with moderate to high confidence (70%), supported by evidence indicating temporary shutdown of parts of the system, disrupting online services. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Trusted Relationship (50%)
Execution
Command and Scripting Interpreter (70%)
Persistence
Account Manipulation (50%)
Privilege Escalation
Valid Accounts (60%)
Defense Evasion
Indicator Removal (70%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
Unsecured Credentials (60%)
Discovery
Account Discovery (50%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Destruction (80%)
Defacement (70%)
Endpoint Denial of Service (70%)

Sources & References