Incident Score: Analysis & Impact (NETQIL1770303663)
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 QILIN'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 QILIN 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 QILIN breach identified under incident ID NETQIL1770303663.
The analysis begins with a detailed overview of QILIN's information like the linkedin page: https://www.linkedin.com/company/qilin, the number of followers: 0, the industry type: Software Development and the number of employees: 5 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 426 and after the incident was 270 with a difference of -156 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 QILIN and their customers.
A newly reported cybersecurity incident, "Surge in Cyberattacks on Financial Sector in 2025", has drawn attention.
The financial sector faced an unprecedented surge in cyberattacks in 2025, with incidents more than doubling from 864 in 2024 to 1,858.
The disruption is felt across the environment, affecting financial platforms and digital banking infrastructure, and exposing True.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Traditional security measures are proving insufficient against the evolving threat landscape. The financial sector's vulnerability is exacerbated by its zero-tolerance for downtime, interconnected systems, and high-value data, and recommending next steps like Implement always-on detection, multi-CDN routing, layered defenses, and address misconfigurations in cloud security, identity governance, and third-party ecosystems.
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 Valid Accounts (T1078) with high confidence (90%), with evidence including stolen credentials, and leaked credentials and dark web marketplaces, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including vPN vulnerabilities, and third-party service providers, External Remote Services (T1133) with moderate to high confidence (80%), with evidence including vPN vulnerabilities, and third-party service providers, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), with evidence including phishing, and aI-driven phishing/social engineering, Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (70%), with evidence including phishing, and aI-driven phishing/social engineering, and Command and Scripting Interpreter: PowerShell (T1059.001) with moderate confidence (60%), supported by evidence indicating misconfigurations such as open storage buckets. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), with evidence including phishing, and social engineering and Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating misconfigurations such as open storage buckets. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including stolen credentials, and leaked credentials and dark web marketplaces and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating vPN vulnerabilities. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including stolen credentials, and permissive access controls and Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), with evidence including cloud security weaknesses, and identity governance gaps. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including stolen credentials, and elusive threat actors using burner accounts, Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating elusive threat actors...using short-lived infrastructure, and Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating elusive threat actors...using decentralized identities. 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 misconfigurations such as open storage buckets, Credentials from Password Stores (T1555) with moderate to high confidence (70%), with evidence including stolen credentials, and leaked credentials and dark web marketplaces, and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating permissive access controls. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), with evidence including identity governance gaps, and permissive access controls and Network Service Discovery (T1046) with moderate confidence (60%), with evidence including unmonitored APIs, and third-party service providers. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), with evidence including vPN vulnerabilities, and third-party service providers and Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including stolen credentials, and interconnected systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personally identifiable information, payment information and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating data breach operations characterized by delayed disclosure. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating short-burst, high-frequency DDoS strikes and Proxy: External Proxy (T1090.002) with moderate confidence (60%), supported by evidence indicating elusive threat actors...using decentralized identities. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration, and stealthy data breach operations and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating cloud security weaknesses. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), with evidence including ransomware incidents...data encryption, and qilin, Akira, Clop, Defacement: Internal Defacement (T1491.001) with moderate confidence (50%), with evidence including geopolitical hacktivism, and ideological objectives, and Network Denial of Service (T1498) with high confidence (90%), with evidence including dDoS attacks saw a 105% increase, and short-burst, high-frequency strikes. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- QILIN Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/qilin/incident/NETQIL1770303663
- QILIN CyberSecurity Rating page: https://www.rankiteo.com/company/qilin
- QILIN Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/netqil1770303663-qilin-keymous-ransomware-january-2025/
- QILIN CyberSecurity Score History: https://www.rankiteo.com/company/qilin/history
- QILIN CyberSecurity Incident Source: https://cybermagazine.com/news/check-point-financial-sector-cyber-risks
- 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