Incident Score: Analysis & Impact (KAS1783715465)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Kaspersky's Cyber Attack 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 Kaspersky 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 Kaspersky breach identified under incident ID KAS1783715465.
The analysis begins with a detailed overview of Kaspersky's information like the linkedin page: https://www.linkedin.com/company/kaspersky, the number of followers: 565687, the industry type: Computer and Network Security and the number of employees: 4603 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 654 and after the incident was 618 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 Kaspersky and their customers.
A newly reported cybersecurity incident, "Retail Sector Faces Surge in Cyberattacks as Threats Evolve Beyond Data Theft", has drawn attention.
Cybersecurity incidents targeting the retail industry have more than doubled over the past three years, as attackers expand their focus beyond data theft to disrupt payment systems, supply chains, and business operations.
The disruption is felt across the environment, affecting Payment systems, Point-of-sale (POS) infrastructure and Supply chain systems, and exposing Payment credentials, Loyalty program details and Customer profiles, plus an estimated financial loss of $91 million (large retailers).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Cybersecurity is no longer a technical issue but a critical business requirement. Retailers must adopt a cyber-resilience mindset, prioritizing critical systems, employee training, advanced threat detection, and managed security services, and recommending next steps like Prioritize critical systems, Employee training and Advanced threat detection.
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 Phishing (T1566) with high confidence (90%), with evidence including phishing, and aI-driven social engineering via email/messaging apps, Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating 30% of retail attacks originating from third-party vendors, and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating weak passwords, improper credential management (64-86% of breaches). Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (80%), supported by evidence indicating human error (64% to 86% of data breaches linked to employee mistakes). Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating weak passwords, improper credential management and Unsecured Credentials (T1552) with moderate to high confidence (80%), supported by evidence indicating payment credentials, loyalty program details compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating payment credentials, loyalty program details, customer profiles compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating retailers managing vast amounts of sensitive data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration confirmed, dark web sales motivation and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating retailers reliance on cloud platforms for data storage. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating ransomware listed as attack type, Defacement (T1491) with lower confidence (40%), supported by evidence indicating operational disruption of payment systems, POS infrastructure, and Account Access Removal (T1531) with moderate confidence (60%), supported by evidence indicating disruption of online transactions, customer service. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating aI-driven social engineering (deepfakes, voice cloning, BEC attacks) and Subvert Trust Controls (T1553) with moderate confidence (60%), supported by evidence indicating third-party vendor vulnerabilities exploited. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Kaspersky Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/kaspersky/incident/KAS1783715465
- Kaspersky CyberSecurity Rating page: https://www.rankiteo.com/company/kaspersky
- Kaspersky Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/kas1783715465-kaspersky-cyber-attack-january-2024/
- Kaspersky CyberSecurity Score History: https://www.rankiteo.com/company/kaspersky/history
- Kaspersky CyberSecurity Incident Source: https://mexicobusiness.news/cybersecurity/news/retail-cyberattacks-double-three-years-kaspersky
- 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