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Analyze » Checkpoint Research Inc. » CHE1770890797

Incident Score: Analysis & Impact (CHE1770890797)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-17
Company Score Before Incident750 / 1000
Company Score After Incident733 / 1000
INCIDENT NUMBERCHE1770890797
Type of Cyber IncidentCyber Attack
ATTACK VECTORGenAI tools, unmanaged applications
DATA EXPOSEDsensitive data (internal documents, personal...
INCIDENT DATE31/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Checkpoint Research Inc.'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 Checkpoint Research Inc. 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 Checkpoint Research Inc. breach identified under incident ID CHE1770890797.

The analysis begins with a detailed overview of Checkpoint Research Inc.'s information like the linkedin page: https://www.linkedin.com/company/checkpoint-research-inc, the number of followers: 124, the industry type: Accounting and the number of employees: 6 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 733 with a difference of -17 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 Checkpoint Research Inc. and their customers.

A newly reported cybersecurity incident, "January 2026 Cyber Attack Surge Highlights Growing Threats from GenAI and Ransomware", has drawn attention.

In January 2026, cyber attacks surged globally, with organizations facing an average of 2,090 weekly attacks, a 3% increase from December 2025 and a 17% rise year-on-year (YOY).

The disruption is felt across the environment, and exposing sensitive data (internal documents, personal identifiers, proprietary code).

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating unmanaged GenAI tools monthly, increasing vulnerabilities and External Remote Services (T1133) with moderate confidence (50%), supported by evidence indicating genAI tools from corporate networks contained sensitive data. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating expanding ransomware activity attributed to attack surge and Command and Scripting Interpreter: Visual Basic (T1059.005) with lower confidence (40%), supported by evidence indicating aI-driven attacks leveraging GenAI tools. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating one in 30 GenAI prompts contained sensitive data like personal identifiers and Brute Force: Password Guessing (T1110.001) with moderate confidence (50%), supported by evidence indicating unsecured GenAI prompts as vulnerability exploited. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive data (internal documents, personal identifiers, proprietary code) and Data from Code Repositories (T1213.003) with moderate to high confidence (70%), supported by evidence indicating proprietary code exposed via GenAI prompts. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration confirmed in ransomware incidents and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating genAI tools used by 93% of organizations, risking data exposure. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strains (Qilin, LockBit, Akira) with data encryption and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating ransomware incidents reached 678 publicly reported cases. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unmanaged GenAI tools used by organizations, risking unauthorized access and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating lack of managed GenAI tools as vulnerability. 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%)
External Remote Services (50%)
Execution
User Execution: Malicious File (70%)
Command and Scripting Interpreter: Visual Basic (40%)
Credential Access
Steal Application Access Token (70%)
Brute Force: Password Guessing (50%)
Collection
Data from Local System (80%)
Data from Code Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Encrypted for Impact (90%)
Data Destruction (50%)
Defense Evasion
Valid Accounts (70%)
Impair Defenses: Disable or Modify Tools (50%)

Sources & References