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Analyze » Labcorp » LAB1790325079

Incident Score: Analysis & Impact (LAB1790325079)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-133
Company Score Before Incident730 / 1000
Company Score After Incident597 / 1000
INCIDENT NUMBERLAB1790325079
Type of Cyber IncidentBreach
ATTACK VECTORThird-party vendor compromise
DATA EXPOSEDPersonal and medical information, Social...
INCIDENT DATE31/07/2018
STATUSSettled

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 LAB1790325079.

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 730 and after the incident was 597 with a difference of -133 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 Settles $2.3M Over 2019 Data Breach Affecting 27.5 Million Patients", a noteworthy cybersecurity incident.

A bipartisan coalition of 44 state attorneys general secured a $2.3 million settlement with Labcorp over a 2019 data breach that exposed the personal and medical information of over 27.5 million people, including 10.2 million Labcorp patients.

The disruption is felt across the environment, affecting AMCA’s systems (third-party debt collector), and exposing Personal and medical information, Social Security numbers, payment card details, medical test information, with nearly 27.5 million records at risk, plus an estimated financial loss of $2,287,455 (settlement amount).

In response, and began remediation that includes Strengthening information security program and incident response plan, minimizing data shared with vendors, expanding vendor risk management, enforcing stricter cybersecurity standards in vendor contracts, engaging a third-party assessor to evaluate security practices.

The case underscores how Settled, teams are taking away lessons such as Third-party vendor risk management is critical; failure to detect intrusions can lead to massive breaches; regulatory enforcement is increasing for data protection failures, and recommending next steps like Strengthen information security programs and incident response plans, Minimize data shared with vendors and ensure compliance with legal obligations and Expand vendor risk management with dedicated oversight and compliance verification.

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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating cyberattack on American Medical Collection Agency (AMCA), a third-party debt collector and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating aMCA, a third-party debt collector for Labcorp, was compromised. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, payment card details compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating personal and medical information, Social Security numbers, payment card details compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating medical test information compromised from AMCA’s systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 27.5 million records exposed, including PII and medical data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but breach had significant impact and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft risk due to exposed Social Security numbers. Under the Defense Evasion tactic, the analysis identified Disabling Security Tools (T1089) with moderate confidence (60%), supported by evidence indicating aMCA failed to detect the intrusion despite warnings from banks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Trusted Relationship (80%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Disabling Security Tools (60%)