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Analyze » Labcorp » PLALAB1790109185

Incident Score: Analysis & Impact (PLALAB1790109185)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-84
Company Score Before Incident728 / 1000
Company Score After Incident644 / 1000
INCIDENT NUMBERPLALAB1790109185
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal and health information, including...
INCIDENT DATE26/10/2024
STATUSSettled (pending final approval)

Key Highlights From The Incident Analysis

  • Timeline of Labcorp'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 Labcorp 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 Labcorp breach identified under incident ID PLALAB1790109185.

The analysis begins with a detailed overview of Labcorp's information like the linkedin page: https://www.linkedin.com/company/labcorp, the number of followers: 807344, the industry type: Hospitals and Health Care and the number of employees: 42956 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 728 and after the incident was 644 with a difference of -84 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 Labcorp and their customers.

Labcorp recently reported "Labcorp Data Breach Settlement - 2024", a noteworthy cybersecurity incident.

Labcorp has reached a $6.1 million settlement to resolve a class action lawsuit stemming from a data breach discovered in October 2024.

The disruption is felt across the environment, and exposing Personal and health information, including names, dates of birth, Social Security numbers, and medical records (lab results), with nearly 1.6 million records at risk, plus an estimated financial loss of $6.1 million settlement.

In response, and stakeholders are being briefed through Settlement notice to affected individuals with claim filing instructions.

The case underscores how Settled (pending final approval), with advisories going out to stakeholders covering Eligible claimants may receive compensation for documented out-of-pocket losses (up to $5,000), a pro rata cash payment (up to $1,000), or two years of free credit and medical monitoring. Claims must be submitted by November 24, 2026.

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 moderate to high confidence (70%), supported by evidence indicating breach compromised sensitive data such as names, SSNs, medical records and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach discovered in October 2024; no specific vector disclosed. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating exposed personal and health information of 1.6 million individuals and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers and medical records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, dates of birth, SSNs, and medical records exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating lab results and health records compromised via internal systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 1.6 million records exposed; data breach settlement of $6.1M and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method; high-volume breach. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating breach impacted 1.6M individuals; no ransomware details and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating medical records exposed; potential for tampering. 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 (70%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials: Credentials In Files (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (30%)

Sources & References