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Analyze » Nebula Genomics » NEB1773290018

Incident Score: Analysis & Impact (NEB1773290018)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-63
Company Score Before Incident748 / 1000
Company Score After Incident685 / 1000
Company LinkView Nebula Genomics Profile
INCIDENT NUMBERNEB1773290018
Type of Cyber IncidentBreach
ATTACK VECTORThird-party tracking tools (Meta Pixel)
DATA EXPOSEDGenetic data
INCIDENT DATE11/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Nebula Genomics'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 Nebula Genomics 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 Nebula Genomics breach identified under incident ID NEB1773290018.

The analysis begins with a detailed overview of Nebula Genomics's information like the linkedin page: https://www.linkedin.com/company/nebula-genomics, the number of followers: 4134, the industry type: Biotechnology Research and the number of employees: 12 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 748 and after the incident was 685 with a difference of -63 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 Nebula Genomics and their customers.

Nebula Genomics Inc. recently reported "Nebula Genomics Faces Class Action Over Alleged Genetic Data Sharing with Meta", a noteworthy cybersecurity incident.

A federal judge in Massachusetts has denied Nebula Genomics Inc.’s request to dismiss a proposed class action lawsuit accusing the DNA testing company of unlawfully sharing customers’ genetic data with Meta and other third parties.

The disruption is felt across the environment, affecting Website tracking tools, and exposing Genetic data.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate confidence (60%), supported by evidence indicating embedded tracking tools, such as Meta’s Pixel, on its website. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating genetic data, personally identifiable information compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating unauthorized transfer of user data via tracking tools. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating shared with Meta and other third parties via tracking tools and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating data shared with external platforms like Meta. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate confidence (60%), supported by evidence indicating tracking tools like Meta Pixel may capture session data. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating embedded tracking tools may operate covertly. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential misuse of genetic data could lead to irreversible harm and Financial Theft (T1657) with lower confidence (40%), supported by evidence indicating alleged unlawful data monetization. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise: Compromise Software Supply Chain (60%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
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%)
Financial Theft (40%)

Sources & References