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Analyze » Smartmatic » SMA1784262756

Incident Score: Analysis & Impact (SMA1784262756)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-148
Company Score Before Incident754 / 1000
Company Score After Incident606 / 1000
Company LinkView Smartmatic Profile
INCIDENT NUMBERSMA1784262756
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDVoter registration data of 220...
INCIDENT DATE31/10/2020
STATUSUnverified

Key Highlights From The Incident Analysis

  • Timeline of Smartmatic'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 Smartmatic 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 Smartmatic breach identified under incident ID SMA1784262756.

The analysis begins with a detailed overview of Smartmatic's information like the linkedin page: https://www.linkedin.com/company/smartmatic, the number of followers: 16704, the industry type: IT Services and IT Consulting and the number of employees: 451 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 606 with a difference of -148 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 Smartmatic and their customers.

U.S. electoral infrastructure recently reported "Alleged Chinese Voter Data Breach Targeting U.S. Election", a noteworthy cybersecurity incident.

Former U.S.

The disruption is felt across the environment, affecting U.S. electoral infrastructure, and exposing Voter registration data of 220 million Americans, with nearly 220 million records at risk.

In response, and stakeholders are being briefed through Public disclosure by former President Donald Trump.

The case underscores how Unverified.

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 (50%), supported by evidence indicating systemic vulnerabilities in U.S. electoral infrastructure and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating no specific timeline or technical details disclosed. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating voter registration data of 220 million Americans stolen. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating voter registration data of 220 million Americans compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating china orchestrated a large-scale breach, stealing voter data and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating no verified technical details or timeline for exfiltration. Under the Impact tactic, the analysis identified Defacement (T1491) with moderate confidence (50%), supported by evidence indicating effort to undermine his re-election campaign and Service Stop (T1489) with lower confidence (40%), supported by evidence indicating potential erosion of public trust in electoral integrity. 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 (50%)
Trusted Relationship (40%)
Credential Access
Unsecured Credentials (60%)
Collection
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Impact
Defacement (50%)
Service Stop (40%)

Sources & References