Incident Score: Analysis & Impact (HURCLO1773109431)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Cloudflare'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 Cloudflare 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 Cloudflare breach identified under incident ID HURCLO1773109431.
The analysis begins with a detailed overview of Cloudflare's information like the linkedin page: https://www.linkedin.com/company/cloudflare, the number of followers: 1140726, the industry type: Computer and Network Security and the number of employees: 6899 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 479 and after the incident was 467 with a difference of -12 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 Cloudflare and their customers.
Consumers recently reported "Hackers Exploit Trusted .arpa Domain to Bypass Phishing Detection", a noteworthy cybersecurity incident.
Researchers at Infoblox uncovered a novel phishing tactic abusing the .arpa top-level domain (TLD) to evade security defenses.
The disruption is felt across the environment, and exposing Credit card details.
In response, moved swiftly to contain the threat with measures like Monitor DNS traffic for unusual .ip6.arpa queries, Block or alert on atypical .arpa hostnames and Audit IPv6 tunneling providers to prevent abuse.
The case underscores how teams are taking away lessons such as Trusted infrastructure components like .arpa domains can be weaponized to bypass security defenses. Organizations must monitor for atypical DNS queries and audit IPv6 tunneling services to prevent abuse, and recommending next steps like Monitor DNS traffic for unusual .ip6.arpa queries, Block or alert on atypical .arpa hostnames (e.g., non-standard IP address formats) and Audit IPv6 tunneling providers to prevent abuse of their services.
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 Phishing (T1566) with high confidence (90%), with evidence including campaign primarily targets consumers with two types of scams, and phishing emails and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating when victims click embedded links in phishing emails. Under the Defense Evasion tactic, the analysis identified Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate to high confidence (70%), supported by evidence indicating abuses the .arpa top-level domain (TLD) to evade security defenses, Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating obtained IPv6 addresses from Hurricane Electric’s free tunneling service, and Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (80%), supported by evidence indicating .arpa is universally trusted, security tools like protective DNS overlook it. Under the Command and Control tactic, the analysis identified Application Layer Protocol: DNS (T1071.004) with high confidence (90%), supported by evidence indicating leverages IPv6-to-IPv4 tunneling services...to create malicious forward DNS records and Dynamic Resolution (T1568) with moderate to high confidence (70%), supported by evidence indicating configured A (address) records on Cloudflare’s name servers. Under the Credential Access tactic, the analysis identified Weaken Encryption (T1600) with moderate confidence (50%), supported by evidence indicating tricked into entering credit card details under false pretenses and Adversary-in-the-Middle (T1557) with moderate to high confidence (70%), supported by evidence indicating redirected through a series of malicious pages. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating credit card details exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Cloudflare Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/cloudflare/incident/HURCLO1773109431
- Cloudflare CyberSecurity Rating page: https://www.rankiteo.com/company/cloudflare
- Cloudflare Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/hurclo1773109431-cloudflare-hurricane-electric-cyber-attack-march-2026/
- Cloudflare CyberSecurity Score History: https://www.rankiteo.com/company/cloudflare/history
- Cloudflare CyberSecurity Incident Source: https://www.csoonline.com/article/4142631/hacker-abusing-arpa-domain-to-evade-phishing-detection-says-infoblox.html
- 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