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Analyze » SCUF Gaming » SCU1774506216

Incident Score: Analysis & Impact (SCU1774506216)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-85
Company Score Before Incident754 / 1000
Company Score After Incident669 / 1000
Company LinkView SCUF Gaming Profile
INCIDENT NUMBERSCU1774506216
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDEmail addresses, usernames, display names,...
INCIDENT DATE31/12/2014
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of SCUF Gaming'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 SCUF Gaming 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 SCUF Gaming breach identified under incident ID SCU1774506216.

The analysis begins with a detailed overview of SCUF Gaming's information like the linkedin page: https://www.linkedin.com/company/scuf-gaming, the number of followers: 7638, the industry type: Computers and Electronics Manufacturing and the number of employees: 188 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 754 and after the incident was 669 with a difference of -85 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 SCUF Gaming and their customers.

Scuf Gaming recently reported "Scuf Gaming Data Breach Exposes 129K User Records from 2015", a noteworthy cybersecurity incident.

In 2015, Scuf Gaming, a manufacturer of custom gaming controllers, experienced a data breach that compromised the personal information of approximately 129,000 users.

The disruption is felt across the environment, and exposing Email addresses, usernames, display names, IP addresses, password hashes, with nearly 129,000 records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as The incident highlights the long-term risks of data exposure, as compromised credentials often circulate in underground markets or third-party databases long after the initial breach. It underscores the persistent threat of credential reuse and the challenges organizations face in securing user data.

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 88% of affected email addresses had already been exposed in previous incidents and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating data breach...compromised via undisclosed attack vector. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating password hashes were exposed in the breach and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating credential reuse risks highlighted in the incident. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating email addresses, usernames, display names, IP addresses, password hashes compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 129,000 user records exposed in the breach and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating compromised credentials circulate in underground markets. Under the Impact tactic, the analysis identified Account Access Removal (T1531) with moderate confidence (50%), supported by evidence indicating long-term risks of data exposure highlighted. 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
Credentials from Password Stores (70%)
Brute Force (50%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Account Access Removal (50%)

Sources & References