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Analyze » Grubhub » GRU1769118538

Incident Score: Analysis & Impact (GRU1769118538)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-62
Company Score Before Incident705 / 1000
Company Score After Incident643 / 1000
INCIDENT NUMBERGRU1769118538
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSocial Security numbers, addresses, financial...
INCIDENT DATE31/12/2024
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Grubhub'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 Grubhub 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 Grubhub breach identified under incident ID GRU1769118538.

The analysis begins with a detailed overview of Grubhub's information like the linkedin page: https://www.linkedin.com/company/grubhub-seamless, the number of followers: 222114, the industry type: Technology, Information and Internet and the number of employees: 6717 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 705 and after the incident was 643 with a difference of -62 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 Grubhub and their customers.

On 03 February 2025, Grubhub disclosed Data Breach issues under the banner "Grubhub Faces Class Action Lawsuit Over January 2025 Data Breach".

A former Grubhub employee has filed a class action lawsuit against the food delivery platform, alleging the company failed to implement adequate security measures to protect sensitive personal and financial data.

The disruption is felt across the environment, and exposing Social Security numbers, addresses, financial details, with nearly Tens of thousands records at risk.

In response, and stakeholders are being briefed through Notified affected individuals on February 3, 2025.

The case underscores how Ongoing, with advisories going out to stakeholders covering Notified affected individuals on February 3, 2025.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating former Grubhub employee has filed a class action lawsuit and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating alleging the company failed to implement adequate security measures. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating alleged failure to implement adequate security measures and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating social Security numbers, addresses, and financial details exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed data reportedly included Social Security numbers, addresses and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating information of tens of thousands of customers and employees. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating cybercriminals accessed the information of tens of thousands and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on the breach’s scope or the attackers’ methods. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating alleged failure to implement adequate security measures and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potentially leaving victims vulnerable to identity theft. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (40%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)