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Analyze » Lemonade » LEM1776392729

Incident Score: Analysis & Impact (LEM1776392729)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-157
Company Score Before Incident643 / 1000
Company Score After Incident486 / 1000
Company LinkView Lemonade Profile
INCIDENT NUMBERLEM1776392729
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDDriver’s license numbers
INCIDENT DATE15/04/2026
STATUSpublished

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 LEM1776392729.

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 643 and after the incident was 486 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.

On 16 April 2026, Lemonade disclosed Data Breach issues under the banner "Lemonade Driver’s License Data Breach Settlement".

Lemonade agreed to a $10.5 million settlement in a proposed class-action lawsuit over a data breach that exposed the driver’s license numbers of over 190,000 individuals due to alleged negligence in security measures.

The disruption is felt across the environment, affecting Online quote platform, and exposing Driver’s license numbers, with nearly 190,000+ records at risk, plus an estimated financial loss of $10,500,000.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Highlights legal and financial risks of handling PII with inadequate safeguards; underscores the importance of robust security measures in digital insurance platforms.

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 to high confidence (80%), supported by evidence indicating exposed the driver’s license numbers...via its online quote platform and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating alleged negligence in security measures. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating driver’s license numbers...exposed to cybercriminals. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating driver’s license numbers of over 190,000 individuals exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposing driver’s license numbers to cybercriminals. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating alleged negligence in security measures and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating driver’s license numbers improperly disclosed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (80%)
Trusted Relationship (50%)
Credential Access
Steal Application Access Token (60%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References