Incident Score: Analysis & Impact (FINIQV1772483878)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Findem'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 Findem 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 Findem breach identified under incident ID FINIQV1772483878.
The analysis begins with a detailed overview of Findem's information like the linkedin page: https://www.linkedin.com/company/findeminc, the number of followers: 13674, the industry type: Software Development and the number of employees: 232 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 753 and after the incident was 560 with a difference of -193 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 Findem 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 Trusted Relationship (T1199) with moderate to high confidence (70%), supported by evidence indicating data brokers collect and sell personal information from commercial sources and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating breaches affected data brokers with public-facing data repositories. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with high confidence (90%), supported by evidence indicating personal information compromised, fueling identity theft and fraud and Gather Victim Identity Information: Email Addresses (T1589.002) with moderate to high confidence (80%), supported by evidence indicating hundreds of millions of records exposed, likely including emails. 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 various sources and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating personal data compromised via data broker repositories. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating over $20B in identity theft losses from breached data and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating hundreds of millions of records exposed in breaches. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating exposed data fuels identity theft, fraud, and scams and Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating class-action lawsuits suggest reputational damage. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Findem Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/findeminc/incident/FINIQV1772483878
- Findem CyberSecurity Rating page: https://www.rankiteo.com/company/findeminc
- Findem Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/finiqv1772483878-findem-iqvia-digital-breach-january-2016/
- Findem CyberSecurity Score History: https://www.rankiteo.com/company/findeminc/history
- Findem 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