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Analyze » Ubiquiti Inc » DOMCISLINDRAFORMIMHIKUBI1781173672

Incident Score: Analysis & Impact (DOMCISLINDRAFORMIMHIKUBI1781173672)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-18
Company Score Before Incident749 / 1000
Company Score After Incident731 / 1000
INCIDENT NUMBERDOMCISLINDRAFORMIMHIKUBI1781173672
Type of Cyber IncidentCyber Attack
ATTACK VECTORExploitation of vulnerabilities in SOHO routers and IoT devices, Tor-hidden command-and-control servers
DATA EXPOSEDReconnaissance data, network intelligence
INCIDENT DATE31/12/2023
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Ubiquiti 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 Ubiquiti 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 Ubiquiti Inc breach identified under incident ID DOMCISLINDRAFORMIMHIKUBI1781173672.

The analysis begins with a detailed overview of Ubiquiti Inc's information like the linkedin page: https://www.linkedin.com/company/ubiquiti-inc, the number of followers: 1099, the industry type: Software Development and the number of employees: 5 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 749 and after the incident was 731 with a difference of -18 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 Ubiquiti Inc 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 Server Software Component: Web Shell (T1505.003) with moderate to high confidence (70%), 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 confidence (60%), supported by evidence indicating blends malicious traffic with legitimate activity to evade detection, Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating tor-hidden C2 servers used to make attribution difficult, Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating results compressed, encrypted, and sent back to central server, Proxy: Multi-hop Proxy (T1090.003) with moderate to high confidence (80%), supported by evidence indicating tor-hidden C2 servers used for scanning tasks, and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating malware erases traces after infection. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating scans span TCP, UDP, SSL, and ICMP protocols (implied credential probing). 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 used to gather 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 reconnaissance data, network intelligence 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 compressed, encrypted, and sent back to central server. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed, compressed and encrypted data sent to C2 and Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (70%), supported by evidence indicating tor-hidden C2 servers used for exfiltration. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Service Exhaustion Flood (T1499.002) with moderate confidence (50%), supported by evidence indicating distributed scanning across thousands of IPs may degrade network performance. 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 (90%)
External Remote Services (80%)
Execution
Command and Scripting Interpreter: Unix Shell (90%)
Exploitation for Client Execution (80%)
Persistence
Server Software Component: Web Shell (70%)
Defense Evasion
Valid Accounts (60%)
Hide Artifacts: Hidden Window (70%)
Obfuscated Files or Information (80%)
Proxy: Multi-hop Proxy (80%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
Brute Force (50%)
Discovery
Network Service Discovery (90%)
File and Directory Discovery (70%)
Collection
Data from Local System (80%)
Automated Collection (90%)
Command and Control
Application Layer Protocol: Web Protocols (80%)
Proxy: Multi-hop Proxy (90%)
Encrypted Channel: Symmetric Cryptography (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (70%)
Impact
Endpoint Denial of Service: Service Exhaustion Flood (50%)