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Analyze » Statista » STA1774729587

Incident Score: Analysis & Impact (STA1774729587)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-72
Company Score Before Incident638 / 1000
Company Score After Incident566 / 1000
Company LinkView Statista Profile
INCIDENT NUMBERSTA1774729587
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal and financial data
INCIDENT DATE22/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Statista'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 Statista 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 Statista breach identified under incident ID STA1774729587.

The analysis begins with a detailed overview of Statista's information like the linkedin page: https://www.linkedin.com/company/statista, the number of followers: 291590, the industry type: Technology, Information and Media and the number of employees: 1318 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 638 and after the incident was 566 with a difference of -72 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 Statista and their customers.

On 23 January 2026, a cybersecurity incident called "U.S. Data Breaches Reach Record Highs in 2025, Impacting Millions" came to light.

A recent report from the Identity Theft Resource Center (ITRC) reveals a sharp rise in data compromises across the United States between 2021 and 2025, highlighting a growing cybersecurity crisis with record-breaking breaches and millions of individuals affected.

The disruption is felt across the environment, and exposing Personal and financial data.

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 moderate to high confidence (80%), with evidence including supply chain vulnerabilities, and third-party risks. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), with evidence including personal and financial data exposed, and high identity theft risk. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating personal data, Financial data compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), with evidence including millions of individuals affected, and data compromises surged in 2025 and Data from Cloud Storage (T1530) with moderate confidence (50%), supported by evidence indicating third-party risks targeting organizations. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), with evidence including record-breaking breaches, and growing cybersecurity crisis and Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating high sensitivity of data compromised. 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 (80%)
Credential Access
Unsecured Credentials (60%)
Collection
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Data from Cloud Storage (50%)
Impact
Data Destruction (40%)
Stored Data Manipulation (50%)

Sources & References