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Analyze » FactSet » FAC1775047945

Incident Score: Analysis & Impact (FAC1775047945)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-61
Company Score Before Incident781 / 1000
Company Score After Incident720 / 1000
INCIDENT NUMBERFAC1775047945
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive reference data
INCIDENT DATE31/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of FactSet'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 FactSet 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 FactSet breach identified under incident ID FAC1775047945.

The analysis begins with a detailed overview of FactSet's information like the linkedin page: https://www.linkedin.com/company/factset, the number of followers: 302255, the industry type: Financial Services and the number of employees: 14830 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 781 and after the incident was 720 with a difference of -61 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 FactSet and their customers.

Sats recently reported "Sats Data Breach", a noteworthy cybersecurity incident.

Sats, a financial data and market intelligence provider, has disclosed a data breach involving unauthorized access to sensitive reference data.

The disruption is felt across the environment, and exposing Sensitive reference data.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 to high confidence (70%), supported by evidence indicating unauthorized access to sensitive reference data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating potential risks to financial institutions reliant on Sats’ datasets. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating unauthorized access to sensitive reference data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive reference data...involves unauthorized access. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach disclosed to regulatory authorities and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating third-party data integrations in financial data sector. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating implications for market transparency, regulatory reporting. 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 (70%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Defacement (40%)