Incident Score: Analysis & Impact (TARWEG1777381148)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Target'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 Target 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 Target breach identified under incident ID TARWEG1777381148.
The analysis begins with a detailed overview of Target's information like the linkedin page: https://www.linkedin.com/company/target, the number of followers: 2409265, the industry type: Retail and the number of employees: 173307 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 782 and after the incident was 746 with a difference of -36 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 Target and their customers.
Australian bars and clubs (2024 breach) recently reported "Facial Recognition Risks: The Permanent Threat of Stolen Biometric Data", a noteworthy cybersecurity incident.
A growing number of organizations (retailers, banks, airports, stadiums, and office buildings) are deploying facial recognition systems to monitor and identify individuals.
The disruption is felt across the environment, affecting Facial recognition systems, Surveillance databases, and exposing Facial recognition templates (biometric data).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Facial recognition systems pose unique risks due to the permanence of biometric data. Organizations must prioritize encryption, minimize data retention, and implement liveness detection to mitigate risks. Third-party vendors must be vetted for cybersecurity expertise to prevent breaches, and recommending next steps like Encrypt facial recognition templates at rest and in transit, Minimize data retention periods for biometric data and Implement liveness detection to prevent spoofing.
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 (60%), supported by evidence indicating facial recognition systems used in Australian bars and clubs was hacked and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating u.S. Customs and Border Protection’s biometric data was compromised in a subcontractor breach. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating insecure facial recognition databases, Lack of encryption and Adversary-in-the-Middle (T1557) with moderate confidence (50%), supported by evidence indicating facial recognition templates vulnerable to theft and cross-referencing. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating facial recognition templates (biometric data) compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating centralized facial recognition databases targeted in breaches. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating stolen biometric data enables persistent impersonation risks and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating third-party vendors may store biometric data in cloud systems. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating permanent loss of biometric privacy due to non-revocable data and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (70%), supported by evidence indicating stolen facial templates can be matched against surveillance footage. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating facial recognition systems may lack encryption or monitoring and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating stolen biometric data can bypass security systems. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Target Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/target/incident/TARWEG1777381148
- Target CyberSecurity Rating page: https://www.rankiteo.com/company/target
- Target Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/tarweg1777381148-wegmans-target-breach-january-2024/
- Target CyberSecurity Score History: https://www.rankiteo.com/company/target/history
- Target CyberSecurity Incident Source: https://theconversation.com/facial-recognition-data-is-a-key-to-your-identity-if-stolen-you-cant-just-change-the-locks-278289
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf