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Analyze » Playworld Inc. » QILCYBSALHALPLA1768955694

Incident Score: Analysis & Impact (QILCYBSALHALPLA1768955694)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-115
Company Score Before Incident767 / 1000
Company Score After Incident652 / 1000
INCIDENT NUMBERQILCYBSALHALPLA1768955694
Type of Cyber IncidentRansomware
ATTACK VECTORthird-party vulnerabilities, cloud integrations, SaaS trust relationships, OAuth-based trust relationships, software package poisoning
DATA EXPOSEDNA
INCIDENT DATE15/06/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Playworld Inc.'s Ransomware 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 Playworld Inc. 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 Playworld Inc. breach identified under incident ID QILCYBSALHALPLA1768955694.

The analysis begins with a detailed overview of Playworld Inc.'s information like the linkedin page: https://www.linkedin.com/company/playworld-systems, the number of followers: 6266, the industry type: Recreational Facilities and the number of employees: 252 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 767 and after the incident was 652 with a difference of -115 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 Playworld Inc. and their customers.

A newly reported cybersecurity incident, "Ransomware and Supply Chain Attacks Surge in 2025", has drawn attention.

2025 marked a sharp escalation in cyber threats, with ransomware and supply chain attacks reaching unprecedented levels.

The disruption is felt across the environment, affecting government, law enforcement and energy.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Supply Chain Compromise (T1195) with high confidence (90%), with evidence including supply chain attacks surged by 93%, and exploited third-party vulnerabilities, Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), with evidence including software package poisoning, and vendor distribution pipelines, Trusted Relationship (T1199) with moderate to high confidence (85%), with evidence including abused OAuth-based trust relationships, and saaS trust relationships, and Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including compromised third-party tokens, and upstream services. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), with evidence including exploited third-party vulnerabilities, and cloud integrations and User Execution (T1204) with moderate confidence (60%), supported by evidence indicating ransomware strains derived from MedusaLocker, Chaos, Makop. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including oAuth-based trust relationships abused, and third-party tokens compromised and Create Account (T1136) with moderate confidence (50%), supported by evidence indicating new ransomware groups emerged (Devman, Sinobi, Warlock, Gunra). Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including compromised third-party tokens, and upstream services exploited and Abuse Elevation Control Mechanism (T1548) with moderate confidence (60%), with evidence including cloud integrations exploited, and saaS trust relationships abused. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including oAuth-based trust relationships abused, and third-party tokens compromised, Deobfuscate/Decode Files or Information (T1140) with moderate confidence (60%), supported by evidence indicating new ransomware strains derived from MedusaLocker, Chaos, Makop, and Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating 57 new ransomware groups and 350+ new strains in 2025. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), with evidence including oAuth-based trust relationships weaponized, and third-party tokens compromised and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating third-party vulnerabilities exploited at scale. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating targeted government, law enforcement, energy, utilities and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating data exfiltration and encryption by ransomware groups. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (80%), with evidence including cloud integrations exploited, and upstream services abused and Remote Services (T1021) with moderate to high confidence (70%), with evidence including saaS trust relationships weaponized, and vendor distribution pipelines. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating data exfiltration by ransomware groups (Qilin, CL0P, Play) and Automated Collection (T1119) with moderate to high confidence (70%), with evidence including 6,604 ransomware attacks in 2025, and supply chain attacks at scale. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating ransomware groups (Qilin, Akira, CL0P) maintained operations and Ingress Tool Transfer (T1105) with moderate confidence (60%), supported by evidence indicating new ransomware strains deployed via supply chain. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration by ransomware groups, and 6,604 attacks in 2025 and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), with evidence including cloud integrations exploited, and upstream services abused. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), supported by evidence indicating data encryption by ransomware groups (Qilin, CL0P, Play), Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating ransomware attacks targeting critical infrastructure, and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating ransomware groups (Devman, Sinobi) targeted government. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Supply Chain Compromise: Compromise Software Supply Chain (80%)
Trusted Relationship (85%)
Valid Accounts (80%)
Execution
Exploitation for Client Execution (70%)
User Execution (60%)
Persistence
Valid Accounts (80%)
Create Account (50%)
Privilege Escalation
Valid Accounts (80%)
Abuse Elevation Control Mechanism (60%)
Defense Evasion
Valid Accounts (80%)
Deobfuscate/Decode Files or Information (60%)
Obfuscated Files or Information (60%)
Credential Access
Steal Application Access Token (90%)
Brute Force (50%)
Discovery
Account Discovery (70%)
File and Directory Discovery (60%)
Lateral Movement
Exploitation of Remote Services (80%)
Remote Services (70%)
Collection
Data from Local System (80%)
Automated Collection (70%)
Command and Control
Application Layer Protocol (70%)
Ingress Tool Transfer (60%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (70%)
Impact
Data Encrypted for Impact (95%)
Data Destruction (60%)
Defacement (50%)

Sources & References