Incident Score: Analysis & Impact (KAS1768378398)
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 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 KAS1768378398.
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: 528510, the industry type: Computer and Network Security and the number of employees: 4470 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 663 and after the incident was 644 with a difference of -19 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.
On 01 April 2024, GTA V Community disclosed Malware Distribution issues under the banner "Millions of Game-Themed Malware Variants Targeting Gamers".
Hackers are luring gamers with the promise of loaders, cracks, exclusive content, and more by abusing popular game titles like GTA, Minecraft, and Call of Duty to distribute malware.
The disruption is felt across the environment, affecting Gaming devices and Personal computers, and exposing Personally identifiable information and Login credentials.
In response, and stakeholders are being briefed through Public advisory urging gamers to refrain from downloading pirated content and be skeptical of giveaways.
The case underscores how Ongoing, teams are taking away lessons such as Gamers, especially younger audiences, are highly vulnerable to malware distributed through fake game-related content. The thriving modding communities and enduring popularity of older games make them prime targets for cybercriminals, and recommending next steps like Refrain from downloading pirated content or unofficial mods, Be skeptical of giveaways, promises of rare skins, or bonuses and Use official platforms for game purchases and downloads, with advisories going out to stakeholders covering Public advisory issued by Kaspersky urging caution against fake game-related downloads.
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: Spearphishing Link (T1566.001) with high confidence (90%), supported by evidence indicating luring gamers with the promise of loaders, cracks, exclusive content and Drive-by Compromise (T1189) with moderate to high confidence (70%), supported by evidence indicating attackers made over 19 million attempts to distribute malicious files. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (95%), supported by evidence indicating malicious files disguised as game-related content (mods, cracks, loaders). Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (80%), supported by evidence indicating infostealers deployed via malicious files and Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating login credentials listed as compromised data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating personally identifiable information and login credentials compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data theft listed as a motivation; 400,000 people potentially affected. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (95%), supported by evidence indicating malicious files disguised as mods, cracks, loaders, and game installers. 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/KAS1768378398
- Kaspersky CyberSecurity Rating page: https://www.rankiteo.com/company/kaspersky
- Kaspersky Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/kas1768378398-kaspersky-cyber-attack-june-2025/
- Kaspersky CyberSecurity Score History: https://www.rankiteo.com/company/kaspersky/history
- Kaspersky CyberSecurity Incident Source: https://www.techradar.com/pro/security/experts-warn-gta-and-minecraft-being-used-to-lure-in-cyberattack-victims-heres-how-to-stay-safe
- 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