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Analyze » Krispy Kreme » KRI1779892471

Incident Score: Analysis & Impact (KRI1779892471)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-256
Company Score Before Incident763 / 1000
Company Score After Incident507 / 1000
INCIDENT NUMBERKRI1779892471
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, dates of birth, Social...
INCIDENT DATE31/12/2023
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Krispy Kreme'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 Krispy Kreme 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 Krispy Kreme breach identified under incident ID KRI1779892471.

The analysis begins with a detailed overview of Krispy Kreme's information like the linkedin page: https://www.linkedin.com/company/krispy-kreme, the number of followers: 131591, the industry type: Food and Beverage Services and the number of employees: 10305 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 763 and after the incident was 507 with a difference of -256 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 Krispy Kreme and their customers.

Krispy Kreme recently reported "Krispy Kreme Data Breach Settlement", a noteworthy cybersecurity incident.

Krispy Kreme has agreed to a $1.6 million settlement following a 2024 cyberattack that compromised customers’ sensitive data, including Social Security numbers and bank account details.

The disruption is felt across the environment, and exposing Names, dates of birth, Social Security numbers, bank account details, financial account information, plus an estimated financial loss of $1.6 million settlement.

In response, and began remediation that includes Strengthened cybersecurity measures, and stakeholders are being briefed through Customer notifications and settlement advisories.

The case underscores how and recommending next steps like Strengthen cybersecurity measures, provide credit monitoring and identity theft protection, with advisories going out to stakeholders covering Customers notified of breach and settlement; cautioned against submitting claims without eligibility.

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 confidence (50%), supported by evidence indicating cyberattack that compromised customers’ sensitive data and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating alleging inadequate data protection. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating social Security numbers and bank account details compromised and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating financial account information exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, dates of birth, Social Security numbers, bank account details and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating financial account information compromised. 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 customer financial data and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating sensitive data compromised in cyberattack. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating class-action lawsuit alleging inadequate data protection and Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no details on attack vector or encryption. 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 (50%)
Trusted Relationship (40%)
Credential Access
Modify Authentication Process (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Alternative Protocol (60%)
Impact
Data Destruction (40%)
Data Encrypted for Impact (30%)

Sources & References