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Analyze » PLAYSTUDIOS ISRAEL » FBICOAPLA1766711007

Incident Score: Analysis & Impact (FBICOAPLA1766711007)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-50
Company Score Before Incident752 / 1000
Company Score After Incident702 / 1000
INCIDENT NUMBERFBICOAPLA1766711007
Type of Cyber IncidentCyber Attack
ATTACK VECTOREmail, Social Engineering, Phishing, AI-Enhanced Phishing, Deepfake
DATA EXPOSEDNA
INCIDENT DATE11/05/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of PLAYSTUDIOS ISRAEL'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 PLAYSTUDIOS ISRAEL 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 PLAYSTUDIOS ISRAEL breach identified under incident ID FBICOAPLA1766711007.

The analysis begins with a detailed overview of PLAYSTUDIOS ISRAEL's information like the linkedin page: https://www.linkedin.com/company/playstudios-israel, the number of followers: 11856, the industry type: Computer Games and the number of employees: 80 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 752 and after the incident was 702 with a difference of -50 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 PLAYSTUDIOS ISRAEL and their customers.

A newly reported cybersecurity incident, "Business Email Compromise (BEC) and Funds Transfer Fraud (FTF) Incidents - 2024 Trends", has drawn attention.

Coalition Insurance reported that 60% of cyber claims in 2024 were related to BEC and FTF incidents, with 29% of BEC events resulting in FTF.

The disruption is felt across the environment, plus an estimated financial loss of ['$35,000 (average BEC loss)', '$185,000 (average FTF loss)', '$9.3 million (single FTF incident recovered)', '$31 million (total recovered in 2024)'].

In response, while recovery efforts such as Fund recovery efforts ($31 million recovered in 2024) continue.

The case underscores how teams are taking away lessons such as Email attacks remain a major vector due to their ease of execution and effectiveness. AI and deepfakes are increasingly used to enhance phishing attacks. Financial institutions are improving fraud detection for large transactions, reducing FTF severity. Cyber insurance and risk management tools are evolving to simplify access and understanding for businesses, and recommending next steps like Use filtered email services to detect malicious files and links, Train employees to recognize phishing attempts and Implement multi-factor authentication (MFA) for financial transactions.

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 (95%), with evidence including email-Based Cyberattacks Dominate 2024 Claims, and attack vector such as Email, Phishing, Phishing: Spearphishing Link (T1566.001) with moderate to high confidence (85%), supported by evidence indicating aI-enhanced phishing and deepfake audio/video to impersonate executives, and Phishing: Spearphishing Attachment (T1566.002) with moderate to high confidence (70%), supported by evidence indicating use filtered email services to detect malicious files and links. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating social engineering and AI-enhanced phishing (implied credential harvesting) and Unsecured Credentials: Email Account Compromise (T1552.007) with high confidence (90%), with evidence including 60% of cyber claims related to BEC and FTF, and 29% of BEC attacks led to fraudulent transfers. Under the Execution tactic, the analysis identified User Execution (T1204) with high confidence (90%), supported by evidence indicating train employees to recognize phishing attempts (implied user interaction) and User Execution: Malicious Link (T1204.001) with moderate to high confidence (85%), supported by evidence indicating aI-enhanced phishing and deepfake audio/video. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Window (T1564.003) with moderate confidence (60%), supported by evidence indicating aI-enhanced phishing (implied obfuscation of malicious intent) and Masquerading (T1036) with high confidence (90%), supported by evidence indicating deepfake audio/video to impersonate executives or trusted entities. Under the Financial Theft tactic, the analysis identified Financial Theft (T1657) with high confidence (95%), with evidence including $35,000 average BEC loss, $185,000 average FTF loss, and $9.3M single FTF incident. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating ransomware remained the most damaging attack type (Akira, Play, etc.) and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating $31 million recovered in stolen funds for clients in 2024. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (95%)
Phishing: Spearphishing Link (85%)
Phishing: Spearphishing Attachment (70%)
Credential Access
Brute Force (50%)
Unsecured Credentials: Email Account Compromise (90%)
Execution
User Execution (90%)
User Execution: Malicious Link (85%)
Defense Evasion
Hide Artifacts: Hidden Window (60%)
Masquerading (90%)
Financial Theft
Financial Theft (95%)
Impact
Data Encrypted for Impact (70%)
Financial Theft (90%)

Sources & References