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Analyze » Fortinet » FOR1777631025

Incident Score: Analysis & Impact (FOR1777631025)

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Rankiteo Score Impact Analysis

Rankiteo Incident Impact-362
Company Score Before Incident738 / 1000
Company Score After Incident376 / 1000
INCIDENT NUMBERFOR1777631025
Type of Cyber IncidentRansomware
ATTACK VECTORAI-powered cybercrime tools, Stealer malware, Credential-based intrusions
DATA EXPOSEDBrowser sessions, Cookies, Authentication tokens
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Fortinet's Ransomware 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 Fortinet 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 Fortinet breach identified under incident ID FOR1777631025.

The analysis begins with a detailed overview of Fortinet's information like the linkedin page: https://www.linkedin.com/company/fortinet, the number of followers: 1232151, the industry type: Computer and Network Security and the number of employees: 15789 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 738 and after the incident was 376 with a difference of -362 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 Fortinet and their customers.

A newly reported cybersecurity incident, "AI-Powered Ransomware Surge: A 389% Spike in Global Victims in 2025", has drawn attention.

Fortinet’s 2026 Global Threat Landscape Report reveals a 389% year-over-year increase in confirmed ransomware victims, driven by AI-powered cybercrime tools like WormGPT, FraudGPT, and BruteForceAI.

The disruption is felt across the environment, and exposing Browser sessions, Cookies and Authentication tokens.

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 to high confidence (80%), supported by evidence indicating react2Shell vulnerability saw active exploitation attempts within hours, Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating credential-based intrusions faster and harder to detect via stealer logs, and Phishing: Spearphishing Attachment (T1566.001) with moderate confidence (60%), supported by evidence indicating aI-powered tools like WormGPT enable sophisticated campaigns. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating aI-powered cybercrime tools enable low-skilled attackers to launch campaigns and Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating aI tools like WormGPT and FraudGPT automate attack execution. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stealer logs provide full browser sessions, cookies, and tokens and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating authentication tokens enable immediate impersonation of victims. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stealer malware provides credentials for privilege escalation. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with high confidence (90%), supported by evidence indicating stealer logs account for 67.12% of dark web datasets and Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating redLine malware led with 911,968 infections (50.8% of stealer activity). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating access brokers and botnet operators accelerate attacks. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating authentication tokens enable immediate impersonation of victims. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating stealer malware collects browser sessions, cookies, and tokens. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware attacks and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating stealer logs sold on dark web marketplaces. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strain data encryption confirmed. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating credential-based intrusions harder to detect and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating aI-powered tools automate evasion techniques. 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 (80%)
Valid Accounts (90%)
Phishing: Spearphishing Attachment (60%)
Execution
User Execution: Malicious File (70%)
Command and Scripting Interpreter (60%)
Persistence
Valid Accounts (80%)
External Remote Services (70%)
Privilege Escalation
Valid Accounts (80%)
Credential Access
OS Credential Dumping (90%)
Credentials from Password Stores (90%)
Discovery
Account Discovery (70%)
Lateral Movement
Remote Services: Remote Desktop Protocol (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (90%)
Defense Evasion
Valid Accounts (80%)
Impair Defenses: Disable or Modify Tools (60%)

Sources & References