Incident Score: Analysis & Impact (LEM1777912871)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Lemonade'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 Lemonade 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 Lemonade breach identified under incident ID LEM1777912871.
The analysis begins with a detailed overview of Lemonade's information like the linkedin page: https://www.linkedin.com/company/lemonade-inc-, the number of followers: 155035, the industry type: Insurance and the number of employees: 1345 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 710 and after the incident was 553 with a difference of -157 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 Lemonade and their customers.
Lemonade Inc. recently reported "Lemonade Inc. Data Exposure Settlement", a noteworthy cybersecurity incident.
A proposed class of nearly 190,000 individuals has filed for preliminary approval of a $10.5 million settlement with insurtech company Lemonade Inc.
The disruption is felt across the environment, affecting Online quote platform, and exposing Drivers’ license numbers, with nearly 190,000 records at risk, plus an estimated financial loss of $10.5 million settlement fund.
In response, and began remediation that includes Implementation of a three-year data security enhancement program.
The case underscores how teams are taking away lessons such as Risks associated with online prefill forms and potential for exploitation by threat actors.
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 high confidence (90%), supported by evidence indicating exploited flawed auto-populate feature in online quote platform. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating platform disclosed drivers’ license numbers when users entered basic details and Exploitation for Credential Access (T1212) with moderate to high confidence (80%), supported by evidence indicating flawed auto-populate feature exposed drivers’ license numbers to cybercriminals. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating drivers’ license numbers were exposed via online quote platform and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating auto-populate feature disclosed sensitive data from platform. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating threat actors exploited functionality over 17-month period for fraud and Automated Exfiltration (T1020) with moderate confidence (60%), supported by evidence indicating flawed auto-populate feature enabled automated data exposure. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but identity theft risk noted and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating threat actors used stolen data to commit fraud and identity theft. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Lemonade Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/lemonade-inc-/incident/LEM1777912871
- Lemonade CyberSecurity Rating page: https://www.rankiteo.com/company/lemonade-inc-
- Lemonade Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/lem1777912871-lemonade-inc-breach-december-2023/
- Lemonade CyberSecurity Score History: https://www.rankiteo.com/company/lemonade-inc-/history
- Lemonade CyberSecurity Incident Source: https://www.jdsupra.com/legalnews/sometimes-the-juice-is-worth-the-squeeze-7714653/
- 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