Incident Score: Analysis & Impact (DOMCISLINDRAFORMIMHIKUBI1781173672)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Fortinet'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 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 DOMCISLINDRAFORMIMHIKUBI1781173672.
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 761 and after the incident was 745 with a difference of -16 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.
U.S. critical infrastructure (military entities) recently reported "China-Linked JDY Botnet Expands, Targeting U.S. Critical Infrastructure", a noteworthy cybersecurity incident.
A resurgent botnet tied to China-backed threat actors, dubbed JDY, has grown into one of the most sophisticated reconnaissance tools in operation.
The disruption is felt across the environment, affecting 1,500+ SOHO routers and IoT devices, and exposing Reconnaissance data, network intelligence.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as The resilience of botnets like JDY highlights the need for rapid patching of vulnerabilities, enhanced monitoring of SOHO devices, and improved attribution techniques for Tor-hidden C2 servers, and recommending next steps like Immediate patching of newly disclosed vulnerabilities in SOHO and IoT devices, Enhanced network monitoring to detect anomalous scanning activity and Implementation of behavioral-based detection systems to identify botnet traffic.
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 high confidence (90%), with evidence including exploitation of vulnerabilities in SOHO routers and IoT devices, and cVE-2026-35616 (Fortinet flaw) exploited within hours and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating tor-hidden command-and-control (C2) servers used for scanning tasks. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Unix Shell (T1059.004) with high confidence (90%), supported by evidence indicating lightweight bash dropper used to infect devices and download payloads and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating exploits newly disclosed vulnerabilities within hours of public disclosure. Under the Persistence tactic, the analysis identified Scheduled Task/Job: Cron (T1053.003) with moderate to high confidence (70%), supported by evidence indicating botnet malware designed for MIPS/MIPSEL architectures, likely using cron jobs and Server Software Component: Web Shell (T1505.003) with moderate confidence (60%), supported by evidence indicating platypus, an open-source remote shell tool, used for device management. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating blends malicious traffic with legitimate activity to evade detection, Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (80%), supported by evidence indicating tor-hidden C2 servers used to make attribution difficult, Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating results compressed, encrypted, and sent back to central server, and Indicator Removal: File Deletion (T1070.004) with moderate to high confidence (70%), supported by evidence indicating bash dropper erases traces after infection. Under the Discovery tactic, the analysis identified Network Service Discovery (T1046) with high confidence (90%), supported by evidence indicating scans span TCP, UDP, SSL, and ICMP protocols for reconnaissance and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating botnet gathers intelligence on U.S. critical infrastructure. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating network intelligence, reconnaissance data collected from devices and Automated Collection (T1119) with high confidence (90%), supported by evidence indicating distributed scanning across thousands of IPs for intelligence gathering. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating tor-hidden C2 servers used for tasking and data exfiltration, Proxy: Multi-hop Proxy (T1090.003) with high confidence (90%), supported by evidence indicating tor-hidden C2 servers used to evade detection and attribution, and Encrypted Channel: Symmetric Cryptography (T1573.001) with moderate to high confidence (80%), supported by evidence indicating data encrypted before exfiltration to central server. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating compressed and encrypted data sent back to central server and Automated Exfiltration (T1020) with moderate to high confidence (80%), supported by evidence indicating distributed scanning and automated data collection/exfiltration. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with moderate confidence (50%), supported by evidence indicating potential disruption of critical infrastructure networks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Fortinet Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/fortinet/incident/DOMCISLINDRAFORMIMHIKUBI1781173672
- Fortinet CyberSecurity Rating page: https://www.rankiteo.com/company/fortinet
- Fortinet Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/domcislindraformimhikubi1781173672-linksys-hikvision-cisco-ubiquiti-draytek-fortinet-araknis-mimosa-networks-cyber-attack-january-2024/
- Fortinet CyberSecurity Score History: https://www.rankiteo.com/company/fortinet/history
- Fortinet CyberSecurity Incident Source: https://cybersecuritynews.com/china-linked-jdy-botnet-uses-1500-soho-and-iot-devices/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf