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Analyze » KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone » KKS1772736100

Incident Score: Analysis & Impact (KKS1772736100)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-54
Company Score Before Incident796 / 1000
Company Score After Incident742 / 1000
Company LinkView KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone Profile
INCIDENT NUMBERKKS1772736100
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal identifiable information (PII)
INCIDENT DATE02/03/2026
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone'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 KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone 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 KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone breach identified under incident ID KKS1772736100.

The analysis begins with a detailed overview of KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone's information like the linkedin page: https://www.linkedin.com/company/kksb, the number of followers: 0, the industry type: Manufacturing and the number of employees: 2 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 796 and after the incident was 742 with a difference of -54 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 KKSB - Making cases for PCB's such as Arduino, Raspberry Pi and BeagleBone and their customers.

On 06 February 2026, KKSB disclosed Data Breach issues under the banner "KKSB Data Breach Impacting Sensitive Personal Information".

KKSB recently disclosed a data breach that may have exposed sensitive personal identifiable information (PII) stored on its systems.

The disruption is felt across the environment, and exposing Sensitive personal identifiable information (PII).

In response, and began remediation that includes Complimentary credit monitoring services, and stakeholders are being briefed through Breach notice published on company website.

The case underscores how Completed, with advisories going out to stakeholders covering Breach notice published on company website.

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 unauthorized third party accessed and potentially acquired personal data and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating suspicious activity within its network (no specific vector). Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating unauthorized third party accessed sensitive PII (implies credential abuse) and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating social Security numbers and driver’s license data compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, Social Security numbers, driver’s license data compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party...potentially acquired personal data. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating sensitive PII exposed (potential misuse risk) and Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no details on malware or encryption (low confidence). 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 (40%)
Credential Access
Modify Authentication Process (50%)
OS Credential Dumping (40%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Manipulation: Stored Data Manipulation (30%)
Data Destruction (20%)

Sources & References