Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Cybertec.group » CYB1782124232

Incident Score: Analysis & Impact (CYB1782124232)

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 Incident751 / 1000
Company Score After Incident734 / 1000
INCIDENT NUMBERCYB1782124232
Type of Cyber IncidentCyber Attack
ATTACK VECTORMalware, Botnets, Backdoors
DATA EXPOSEDTrue
INCIDENT DATE31/05/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Cybertec.group'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 Cybertec.group 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 Cybertec.group breach identified under incident ID CYB1782124232.

The analysis begins with a detailed overview of Cybertec.group's information like the linkedin page: https://www.linkedin.com/company/cybertec-group, the number of followers: 73, the industry type: Computer and Network Security 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 751 and after the incident was 734 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 Cybertec.group and their customers.

Western telecommunications infrastructure recently reported "China’s Cyber Espionage Relies on Private Contractors", a noteworthy cybersecurity incident.

China’s state-sponsored cyber operations have evolved into a sophisticated ecosystem of private companies, contractors, and data brokers that conduct espionage on behalf of intelligence agencies.

The disruption is felt across the environment, affecting Telecommunications infrastructure, and exposing True.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as China’s cyber operations are no longer monolithic but a fragmented, commercially integrated ecosystem. The contractor-driven model presents new challenges for defenders due to attacks originating from multiple, seemingly unrelated entities, and recommending next steps like Zero-trust architectures, Network segmentation and Real-time threat intelligence.

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 (50%), supported by evidence indicating salt Typhoon espionage operation targeting Western telecommunications and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating private contractors and data brokers conduct espionage on behalf of intelligence agencies. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating shadowPad backdoor, sold to suspected PLA units and shared with APT41 and User Execution: Malicious File (T1204.002) with moderate confidence (60%), supported by evidence indicating malware and botnets used to enable state operations. Under the Persistence tactic, the analysis identified Create or Modify System Process: Windows Service (T1543.003) with moderate to high confidence (70%), supported by evidence indicating shadowPad backdoor and Raptor Train botnet established as backdoors. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating shadowPad backdoor used by APT41 and PLA units. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating commercially driven structure complicates attribution and Hide Artifacts: Hidden Window (T1564.003) with moderate confidence (60%), supported by evidence indicating botnets and backdoors used for stealthy operations. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with moderate confidence (50%), supported by evidence indicating telecommunications infrastructure targeted by Salt Typhoon and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating i-Soon conducted intrusions against 14 governments. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating stolen data resold through i-Soon and other brokers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating stolen data sold to multiple buyers, including government entities and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating botnets and malware used for data exfiltration. Under the Command and Control tactic, the analysis identified Proxy: External Proxy (T1090.002) with moderate to high confidence (70%), supported by evidence indicating raptor Train botnet disrupted by U.S. for enabling Flax Typhoon and Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating botnets and backdoors used for C2 communications. 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 espionage operations and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (50%), supported by evidence indicating stolen data resold through data brokers. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating espionage operations targeting critical infrastructure. 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 (50%)
Trusted Relationship (80%)
Execution
Exploitation for Client Execution (70%)
User Execution: Malicious File (60%)
Persistence
Create or Modify System Process: Windows Service (70%)
Privilege Escalation
Exploitation for Privilege Escalation (60%)
Defense Evasion
Obfuscated Files or Information (70%)
Hide Artifacts: Hidden Window (60%)
Credential Access
Adversary-in-the-Middle (50%)
Credentials from Password Stores (60%)
Discovery
File and Directory Discovery (70%)
Collection
Data from Local System (80%)
Automated Collection (70%)
Command and Control
Proxy: External Proxy (70%)
Application Layer Protocol: Web Protocols (60%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (50%)
Impact
Defacement: Internal Defacement (40%)

Sources & References