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Analyze » Personal Information Protection Commission(PIPC), Republic of Korea » PERNACMYN1782044818

Incident Score: Analysis & Impact (PERNACMYN1782044818)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-76
Company Score Before Incident758 / 1000
Company Score After Incident682 / 1000
Company LinkView Personal Information Protection Commission(PIPC), Republic of Korea Profile
INCIDENT NUMBERPERNACMYN1782044818
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal data
INCIDENT DATE31/12/2021
STATUSOngoing (digital forensic investigation with Royal Malaysia Police)

Key Highlights From The Incident Analysis

  • Timeline of Personal Information Protection Commission(PIPC), Republic of Korea'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 Personal Information Protection Commission(PIPC), Republic of Korea 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 Personal Information Protection Commission(PIPC), Republic of Korea breach identified under incident ID PERNACMYN1782044818.

The analysis begins with a detailed overview of Personal Information Protection Commission(PIPC), Republic of Korea's information like the linkedin page: https://www.linkedin.com/company/personal-information-protection-commission-pipc-republic-of-korea, the number of followers: 610, the industry type: Government Administration and the number of employees: 11 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 758 and after the incident was 682 with a difference of -76 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 Personal Information Protection Commission(PIPC), Republic of Korea and their customers.

On 21 June 2024, Malaysian Government (General) disclosed Data Breach issues under the banner "Malaysia Data Leak from Pre-2022 Cybersecurity Incidents".

Malaysia’s National Security Council (NSC) confirmed that recent claims of a personal data leak circulating on social media stem from cybersecurity incidents reported before 2022.

The disruption is felt across the environment, and exposing Personal data.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Blocking and removing implicated websites, and stakeholders are being briefed through Public clarification and advisories.

The case underscores how Ongoing (digital forensic investigation with Royal Malaysia Police), teams are taking away lessons such as Need for stronger legislation and robust protection measures for critical information infrastructure, and recommending next steps like Adoption of risk assessments, security audits, and stricter penalties for cyber offenses under the upcoming Cyber Crime Bill and Cyber Security Act 2024, with advisories going out to stakeholders covering Government and private-sector entities urged to adopt robust cybersecurity measures.

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 (60%), with evidence including cybersecurity incidents reported *before 2022*, and prior cyber intrusions and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating unlawfully obtained through prior cyber intrusions. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating personal data...unlawfully obtained through prior cyber intrusions and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating data breach involving personally identifiable information. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal data...unlawfully obtained through prior cyber intrusions and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating data from pre-2022 incidents now being redistributed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed in pre-2022 incidents and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating data redistributed across online platforms. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating unauthorized redistribution of compromised data and Disk Wipe (T1561) with lower confidence (30%), supported by evidence indicating no details on extent of prior intrusions. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to prior compromised systems and Hide Artifacts (T1564) with moderate confidence (50%), supported by evidence indicating data redistributed without authorization. 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 (60%)
Trusted Relationship (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (60%)
Impact
Data Destruction (40%)
Disk Wipe (30%)
Defense Evasion
Valid Accounts (60%)
Hide Artifacts (50%)

Sources & References