Incident Score: Analysis & Impact (FINIQV1772483878)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of IQVIA'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 IQVIA 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 IQVIA breach identified under incident ID FINIQV1772483878.
The analysis begins with a detailed overview of IQVIA's information like the linkedin page: https://www.linkedin.com/company/iqvia, the number of followers: 2496301, the industry type: Hospitals and Health Care and the number of employees: 80729 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 813 and after the incident was 687 with a difference of -126 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 IQVIA and their customers.
On 27 February 2024, Comscore disclosed Data Breach issues under the banner "Data Broker Breaches Resulting in Identity Theft Losses".
A report from Sen.
The disruption is felt across the environment, and exposing Personal information, with nearly Hundreds of millions records at risk, plus an estimated financial loss of $20 billion.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Data brokers pose significant risks when breached, and stronger protections, including easily accessible opt-out mechanisms, are needed to reduce fraud risks, and recommending next steps like Enhance oversight, improve transparency in opt-out mechanisms, and reduce fraud risks through legislative and industry actions.
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 (50%), supported by evidence indicating data brokers collect and sell personal information often without consumer awareness and Trusted Relationship (T1199) with moderate confidence (60%), supported by evidence indicating breaches affected data brokers (Comscore, IQVIA Digital, etc.) with access to personal data. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating exposed data frequently fuels identity theft, fraud, and scams and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating personal information compromised, enabling account takeovers. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating data brokers collect and sell personal information from commercial/government sources and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating hundreds of millions of records exposed in breaches. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating $20 billion in identity theft losses from breaches and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data brokers sell personal information to third parties. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating identity theft and fraud resulting from breaches and Defacement (T1491) with lower confidence (30%), supported by evidence indicating class-action lawsuits and reputational damage to data brokers. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- IQVIA Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/iqvia/incident/FINIQV1772483878
- IQVIA CyberSecurity Rating page: https://www.rankiteo.com/company/iqvia
- IQVIA Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/finiqv1772483878-findem-iqvia-digital-breach-january-2016/
- IQVIA CyberSecurity Score History: https://www.rankiteo.com/company/iqvia/history
- IQVIA CyberSecurity Incident Source: https://meritalk.com/articles/hassan-led-report-estimates-over-20b-in-recent-losses-from-data-broker-breaches/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf