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Analyze » Adyen » ADY1768444061

Incident Score: Analysis & Impact (ADY1768444061)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-15
Company Score Before Incident805 / 1000
Company Score After Incident790 / 1000
Company LinkView Adyen Profile
INCIDENT NUMBERADY1768444061
Type of Cyber IncidentCyber Attack
ATTACK VECTOROverwhelming traffic from globally distributed and shifting IP addresses
DATA EXPOSEDNA
INCIDENT DATE22/04/2025
STATUSResolved

Key Highlights From The Incident Analysis

  • Timeline of Adyen'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 Adyen 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 Adyen breach identified under incident ID ADY1768444061.

The analysis begins with a detailed overview of Adyen's information like the linkedin page: https://www.linkedin.com/company/adyen, the number of followers: 355910, the industry type: Financial Services and the number of employees: 5276 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 805 and after the incident was 790 with a difference of -15 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 Adyen and their customers.

On 21 April 2024, Adyen disclosed Distributed Denial of Service (DDoS) issues under the banner "Adyen DDoS Attack Disrupts European Payment Services".

Adyen experienced a distributed denial of service (DDoS) attack that temporarily disrupted some of its payment processing services in Europe.

The disruption is felt across the environment, affecting European payment systems, onboarding, money transfers.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Continuous adjustments to mitigation strategies, and stakeholders are being briefed through Public disclosure via company website.

The case underscores how Resolved, with advisories going out to stakeholders covering Detailed post-incident review to be shared with customers.

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 Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (95%), supported by evidence indicating dDoS attack causing temporary disruptions to its services across Europe and Direct Network Flood (T1498.001) with high confidence (90%), supported by evidence indicating millions of requests per minute from a globally distributed and shifting set of IP addresses. Under the Initial Access tactic, the analysis identified Endpoint Denial of Service (T1499) with moderate to high confidence (80%), supported by evidence indicating attack unfolded in three distinct waves, degrading services such as onboarding and money transfers. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Impact
Network Denial of Service (95%)
Direct Network Flood (90%)
Initial Access
Endpoint Denial of Service (80%)

Sources & References