Incident Score: Analysis & Impact (THEGOO1774470489)
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 The Spamhaus Project'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 The Spamhaus Project 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 The Spamhaus Project breach identified under incident ID THEGOO1774470489.
The analysis begins with a detailed overview of The Spamhaus Project's information like the linkedin page: https://www.linkedin.com/company/the-spamhaus-project, the number of followers: 2615, the industry type: Computer and Network Security and the number of employees: 2 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 748 and after the incident was 730 with a difference of -18 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 The Spamhaus Project and their customers.
A newly reported cybersecurity incident, "Mirai Botnet Variants Fuel Record-Breaking DDoS Attacks in 2025–2026", has drawn attention.
The Mirai botnet, first discovered in 2016, has evolved into a sprawling cybercriminal ecosystem, driving a surge in botnet-driven threats over the past year.
The disruption is felt across the environment, affecting 1–4 million devices (IoT and Android).
In response, moved swiftly to contain the threat with measures like Disruption of C2 servers.
The case underscores how Ongoing (botnets adapted post-disruption), teams are taking away lessons such as Botnets rapidly adapt to law enforcement takedowns by shifting infrastructure (e.g., to I2P). Decentralized networks complicate tracking and disruption efforts, and recommending next steps like Patch IoT devices and update default credentials, Monitor for malicious .apk files on Android devices and Enhance DDoS mitigation strategies.
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%), supported by evidence indicating exploiting default credentials, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating unpatched vulnerabilities in IoT/ARC processors, and Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), supported by evidence indicating malicious .apk files targeting Android devices. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating malicious .apk files targeting multiple CPU architectures and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating botnet C2 servers controlling infected devices. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate confidence (60%), supported by evidence indicating hijacking IoT devices via default credentials and Create or Modify System Process: Windows Service (T1543.003) with moderate confidence (50%), supported by evidence indicating mirai variants targeting IoT devices (implied persistence). Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating abusing default credentials to blend in, Encrypted Channel: Asymmetric Cryptography (T1573.002) with high confidence (90%), supported by evidence indicating shift to I2P, a decentralized, encrypted network, and Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating abusing residential proxy networks to obscure attack traffic. Under the Command and Control tactic, the analysis identified Proxy (T1090) with high confidence (90%), supported by evidence indicating abusing residential proxy networks to obscure traffic, Encrypted Channel: Asymmetric Cryptography (T1573.002) with high confidence (90%), supported by evidence indicating use of I2P for decentralized, encrypted C2, and Fallback Channels (T1008) with moderate to high confidence (80%), supported by evidence indicating rapid pivot to I2P after C2 server disruption. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (100%), supported by evidence indicating 31.4 Tbps DDoS flood and 14.1B packet-per-second assault. Under the Resource Development tactic, the analysis identified Botnet (T1583.005) with high confidence (100%), supported by evidence indicating compromised 1–4 million devices for botnet operations and Compromise Infrastructure: Botnet (T1584.005) with high confidence (90%), supported by evidence indicating hijacking IoT/Android devices for C2 infrastructure. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- The Spamhaus Project Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/the-spamhaus-project/incident/THEGOO1774470489
- The Spamhaus Project CyberSecurity Rating page: https://www.rankiteo.com/company/the-spamhaus-project
- The Spamhaus Project Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/thegoo1774470489-google-spamhaus-cyber-attack-march-2026/
- The Spamhaus Project CyberSecurity Score History: https://www.rankiteo.com/company/the-spamhaus-project/history
- The Spamhaus Project CyberSecurity Incident Source: https://cybersecuritynews.com/mirai-based-botnets-evolve-into-massive-ddos/
- 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