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Analyze » LG유플러스 (LG Uplus) » LG-KT-1785457450

Incident Score: Analysis & Impact (LG-KT-1785457450)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-156
Company Score Before Incident767 / 1000
Company Score After Incident611 / 1000
INCIDENT NUMBERLG-KT-1785457450
Type of Cyber IncidentBreach
ATTACK VECTORCompromised Femtocell, Malware (BPFDoor), Authentication Certificate Exploitation
DATA EXPOSEDPersonal data of 16,647 subscribers,...
INCIDENT DATE07/10/2024
STATUSCompleted (PIPC investigation)

Key Highlights From The Incident Analysis

  • Timeline of LG유플러스 (LG Uplus)'s Breach 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 LG유플러스 (LG Uplus) 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 LG유플러스 (LG Uplus) breach identified under incident ID LG-KT-1785457450.

The analysis begins with a detailed overview of LG유플러스 (LG Uplus)'s information like the linkedin page: https://www.linkedin.com/company/lg-uplus, the number of followers: 160795, the industry type: Telecommunications and the number of employees: 2740 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 767 and after the incident was 611 with a difference of -156 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 LG유플러스 (LG Uplus) and their customers.

On 10 September 2025, KT Corporation disclosed Data Breach, Network Compromise and Malware Infection issues under the banner "KT Corporation Fined $39 Million for 11-Month Data Breach in South Korea".

South Korea’s Personal Information Protection Commission (PIPC) imposed a KRW 53.979 billion ($39 million) fine on KT Corporation for severe data protection failures leading to an 11-month-long network compromise.

The disruption is felt across the environment, affecting Femtocell network and 38 KT servers, and exposing Personal data of 16,647 subscribers, including phone numbers, IMSI, IMEI identifiers, SMS/ARS authentication codes, with nearly 16,647 records at risk, plus an estimated financial loss of KRW 53.979 billion ($39 million) fine + KRW 240 million ($167,400) in fraudulent payments.

In response, and began remediation that includes Strengthened femtocell and network security controls and Improved governance over personal data protection.

The case underscores how Completed (PIPC investigation), teams are taking away lessons such as Inadequate femtocell security controls, failure to report malware infections, and log deletion hindered investigation. Need for stricter certificate management, IP restrictions, and regulatory compliance, and recommending next steps like Renew femtocell certificates more frequently, Restrict femtocell connections by source IP and Remove bypass routes in management servers, with advisories going out to stakeholders covering PIPC ordered KT to strengthen security controls and improve governance.

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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating attackers obtained a valid authentication certificate from the lost device and Hardware Additions (T1200) with moderate to high confidence (80%), supported by evidence indicating installed it on a rogue femtocell, tricking nearby devices into connecting. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating femtocell certificates remained valid for 10 years without renewal and BITS Jobs (T1197) with moderate confidence (50%), supported by evidence indicating bPFDoor malware enabled attackers to monitor network traffic covertly. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating bypass route allowed attackers to evade the femtocell management server. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating kT failed to report BPFDoor malware infection and deleted logs and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating valid authentication certificate from the lost device. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with high confidence (90%), supported by evidence indicating intercept mobile traffic, including phone numbers, IMSI, IMEI, SMS/ARS codes and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating capture SMS and ARS authentication codes used for micropayments. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposure of 16,647 subscribers’ personal data, including phone numbers, IMSI, IMEI and Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating bPFDoor malware enabled attackers to monitor network traffic covertly. Under the Command and Control tactic, the analysis identified Proxy: External Proxy (T1090.002) with moderate to high confidence (70%), supported by evidence indicating rogue femtocell tricked nearby devices into connecting and Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating bPFDoor malware linked to China-nexus Red Menshen group. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating fraudulent micropayments totaling KRW 240 million ($167,400) and Exfiltration Over Alternative Protocol: Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (70%), supported by evidence indicating intercept mobile traffic, including SMS/ARS authentication codes. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating fraudulent micropayments for 368 victims and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating kRW 240 million ($167,400) in fraudulent mobile payments. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Hardware Additions (80%)
Persistence
Account Manipulation (70%)
BITS Jobs (50%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (80%)
Valid Accounts (90%)
Credential Access
Adversary-in-the-Middle (90%)
Brute Force: Password Guessing (60%)
Collection
Data from Local System (90%)
Automated Collection (80%)
Command and Control
Proxy: External Proxy (70%)
Application Layer Protocol: Web Protocols (60%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Alternative Protocol: Unencrypted/Obfuscated Non-C2 Protocol (70%)
Impact
Defacement: Internal Defacement (60%)
Financial Theft (90%)

Sources & References