Checkout.com Breach Incident Score: Analysis & Impact (CHE5363553111725)
The Rankiteo video explains how the company Checkout.com has been impacted by a Ransomware on the date May 16, 2025.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of Checkout.com'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 Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Checkout.com Rankiteo cyber scoring and cyber rating.
- Rankiteoโs MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Checkout.com breach identified under incident ID CHE5363553111725.
The analysis begins with a detailed overview of Checkout.com's information like the linkedin page: https://www.linkedin.com/company/checkout, the number of followers: 262397, the industry type: Financial Services and the number of employees: 2214 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 733 and after the incident was 605 with a difference of -128 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 Checkout.com and their customers.
On 14 November 2025, Checkout.com disclosed ransomware, data breach and extortion issues under the banner "Checkout.com Ransomware Incident by ShinyHunters (2025)".
UK-based payment services provider Checkout.com experienced a compromise of its legacy third-party cloud file storage system by the ShinyHunters extortion group.
The disruption is felt across the environment, affecting legacy third-party cloud file storage, and exposing True.
In response, teams activated the incident response plan, and began remediation that includes donated ransom amount to cybercrime research (Carnegie Mellon University, University of Oxford), and stakeholders are being briefed through public denial of ransom payment via The Register.
The case underscores how ongoing (implied by public disclosure).
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.
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 Exploit Public-Facing Application (T1190) with moderate to high confidence (85%), with evidence including compromised legacy third-party cloud file storage system, and compromise of legacy third-party cloud storage (root_causes) and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating legacy third-party cloud file storage system (potential abuse of valid cloud credentials). Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate confidence (60%), supported by evidence indicating legacy third-party cloud file storage (possible web shell for persistence). Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Cloud Logs (T1562.001) with moderate to high confidence (75%), supported by evidence indicating legacy third-party cloud (potential log tampering to evade detection). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating legacy third-party cloud file storage (possible credential harvesting from misconfigured storage). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including data exfiltration such as true (ransomware), and data breach such as data exfiltration such as true. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (85%), with evidence including data exfiltration such as true (implied transfer of data from cloud storage), and shinyHunters extortion group (known for data theft). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating type such as ransomware (possible encryption, though not explicitly confirmed) and Data Theft for Extortion (T1659) with high confidence (95%), with evidence including ransomware such as data exfiltration such as true, motivation such as extortion, and shinyHunters extortion group. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- Checkout.com Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/checkout/incident/CHE5363553111725
- Checkout.com CyberSecurity Rating page: https://www.rankiteo.com/company/checkout
- Checkout.com Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/che5363553111725-checkout-com-ransomware-may-2025/
- Checkout.com CyberSecurity Score History: https://www.rankiteo.com/company/checkout/history
- Checkout.com CyberSecurity Incident Source: https://www.scworld.com/brief/alleged-massive-steam-breach-downplayed
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf





