Incident Score: Analysis & Impact (DAT1778055829)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of DataDome'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 DataDome 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 DataDome breach identified under incident ID DAT1778055829.
The analysis begins with a detailed overview of DataDome's information like the linkedin page: https://www.linkedin.com/company/datadome, the number of followers: 14549, the industry type: Computer and Network Security and the number of employees: 213 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 735 with a difference of -17 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 DataDome and their customers.
A newly reported cybersecurity incident, "Massive 'Low and Slow' DDoS Attack Bypasses Traditional Defenses in Record-Breaking Campaign", has drawn attention.
In mid-April, cybercriminals executed one of the most fragmented and sophisticated DDoS attacks ever documented, targeting a major user-generated content platform with 2.45 billion malicious requests over just five hours.
The disruption is felt across the environment, affecting User-generated content platform.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The incident underscores the need for behavioral analysis over time rather than reliance on traditional rate-limiting, as threat actors increasingly exploit fragmented infrastructure to bypass security measures, and recommending next steps like Implement behavioral analysis to detect 'low and slow' DDoS attacks and avoid reliance on static rate-limiting defenses.
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 Endpoint Denial of Service (T1499) with high confidence (90%), supported by evidence indicating targeting a major user-generated content platform with 2.45 billion malicious requests. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (95%), supported by evidence indicating 2.45 billion malicious requests over five hours, peaking at 205,344 RPS and Endpoint Denial of Service: Service Exhaustion Flood (T1499.002) with moderate to high confidence (80%), supported by evidence indicating evading standard rate-limiting defenses through a low and slow approach. Under the Defense Evasion tactic, the analysis identified Direct Network Flood (T1498.001) with moderate to high confidence (85%), supported by evidence indicating distributing traffic across 1.2 million unique IP addresses and 16,402 distinct ASNs, Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating blending malicious traffic with legitimate sources like Google and Amazon, and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (75%), supported by evidence indicating evading standard rate-limiting defenses via low and slow fragmentation. Under the Command and Control tactic, the analysis identified Proxy: Multi-hop Proxy (T1090.003) with moderate to high confidence (80%), supported by evidence indicating 1.2 million unique IP addresses and 16,402 distinct ASNs far exceeding typical operations and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating inconsistencies in TLS handshakes and browser fingerprints. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- DataDome Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/datadome/incident/DAT1778055829
- DataDome CyberSecurity Rating page: https://www.rankiteo.com/company/datadome
- DataDome Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/dat1778055829-datadome-cyber-attack-april-2026/
- DataDome CyberSecurity Score History: https://www.rankiteo.com/company/datadome/history
- DataDome CyberSecurity Incident Source: https://hackread.com/low-and-slow-ddos-attack-hits-2-45-billion-5-hours/
- 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