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Analyze » Metabase » METFRA1786131154

Incident Score: Analysis & Impact (METFRA1786131154)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-77
Company Score Before Incident751 / 1000
Company Score After Incident674 / 1000
INCIDENT NUMBERMETFRA1786131154
Type of Cyber IncidentBreach
ATTACK VECTORZero-day vulnerability exploitation
DATA EXPOSEDCustomer names, login IP addresses,...
INCIDENT DATE02/08/2026
STATUSOngoing (Preliminary findings)

Key Highlights From The Incident Analysis

  • Timeline of Metabase'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 Metabase 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 Metabase breach identified under incident ID METFRA1786131154.

The analysis begins with a detailed overview of Metabase's information like the linkedin page: https://www.linkedin.com/company/metabase, the number of followers: 27525, the industry type: Data Infrastructure and Analytics and the number of employees: 126 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 751 and after the incident was 674 with a difference of -77 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 Metabase and their customers.

On 06 August 2024, Framework disclosed Data Breach issues under the banner "Framework Customer Data Exposed in Metabase Breach".

Framework disclosed a data breach affecting all its customers after an attacker exploited an unknown zero-day vulnerability in Metabase, its business database provider.

The disruption is felt across the environment, affecting Metabase business database, and exposing Customer names, login IP addresses, physical addresses, phone numbers, email addresses.

In response, moved swiftly to contain the threat with measures like Rotated credentials, patched vulnerability, and began remediation that includes Reviewing data storage practices with external vendors, and stakeholders are being briefed through Email disclosure to customers.

The case underscores how Ongoing (Preliminary findings), with advisories going out to stakeholders covering Email sent to all customers on August 6, 2024.

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 attacker exploited an unknown zero-day vulnerability in Metabase’s systems. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating zero-day vulnerability in Metabase’s systems was exploited. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating framework rotated credentials following the breach. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating customer names, login IP addresses, physical addresses, phone numbers, email addresses were accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach affecting all its customers via Metabase. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating attacker accessed customer data via Metabase’s systems. 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 (90%)
Execution
Exploitation for Client Execution (70%)
Credential Access
Steal Application Access Token (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Defacement: Internal Defacement (40%)

Sources & References