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Analyze » Criteo » CVSCRI1790260200

Incident Score: Analysis & Impact (CVSCRI1790260200)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-142
Company Score Before Incident752 / 1000
Company Score After Incident610 / 1000
INCIDENT NUMBERCVSCRI1790260200
Type of Cyber IncidentBreach
ATTACK VECTORWebsite Tracking Tools
DATA EXPOSEDPersonal and protected health information...
INCIDENT DATE30/09/2024
STATUSSettled

Key Highlights From The Incident Analysis

  • Timeline of Criteo'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 Criteo 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 Criteo breach identified under incident ID CVSCRI1790260200.

The analysis begins with a detailed overview of Criteo's information like the linkedin page: https://www.linkedin.com/company/criteo, the number of followers: 268079, the industry type: Advertising Services and the number of employees: 3954 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 752 and after the incident was 610 with a difference of -142 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 Criteo and their customers.

CVS Health recently reported "CVS Health & Criteo, AmWell Reach $22.5M+ Settlements Over Unauthorized Health Data Tracking", a noteworthy cybersecurity incident.

Two major class-action lawsuits have resulted in multimillion-dollar settlements over allegations that healthcare and digital advertising companies unlawfully shared users’ sensitive health data with third parties via website tracking tools.

The disruption is felt across the environment, affecting CVS Health website and mobile app, AmWell LiveHealth Online website and mobile apps, and exposing Personal and protected health information (PHI), personally identifiable medical information, confidential communications, plus an estimated financial loss of $22.5M+ in settlements.

In response, and began remediation that includes Settlement agreements, claims process for affected users, and stakeholders are being briefed through Public disclosure of settlements, legal notices.

The case underscores how Settled, teams are taking away lessons such as Growing scrutiny over healthcare companies’ use of tracking technologies and compliance with privacy laws, and recommending next steps like Review and audit data sharing practices, ensure compliance with privacy regulations, implement stricter controls on third-party tracking tools, with advisories going out to stakeholders covering Settlement notices provided to affected users with claims deadlines.

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 Drive-by Compromise (T1189) with moderate confidence (60%), supported by evidence indicating tracking tools embedded in CVS’s platforms transmitted sensitive data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating personal and protected health information (PHI) was compromised and Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating tracking tools...transmitted sensitive data to companies like Criteo, Adobe. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating tracking tools transmitted sensitive data to third parties without consent and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating data shared with third parties via website tracking tools. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate confidence (60%), supported by evidence indicating tracking tools may have captured session data without user knowledge. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating tracking tools embedded without user knowledge or consent. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential misuse of PHI could lead to identity theft and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized disclosure of sensitive health data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Drive-by Compromise (60%)
Collection
Data from Local System (90%)
Automated Collection (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (70%)
Credential Access
Steal Web Session Cookie (60%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (50%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)