Incident Score: Analysis & Impact (INF1768815998)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Infoblox'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 Infoblox 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 Infoblox breach identified under incident ID INF1768815998.
The analysis begins with a detailed overview of Infoblox's information like the linkedin page: https://www.linkedin.com/company/infoblox, the number of followers: 201225, the industry type: Computer and Network Security and the number of employees: 2948 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 767 and after the incident was 751 with a difference of -16 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 Infoblox and their customers.
Android users recently reported "Cybercriminals’ Push-Notification Scam Exposed by DNS Misconfiguration", a noteworthy cybersecurity incident.
A recent investigation by Infoblox uncovered a large-scale push-notification scam targeting Android users, revealing how a simple DNS error exposed the criminal infrastructure behind it.
The disruption is felt across the environment, affecting Infected Android browsers (via service workers), and exposing Browser notification data, user interaction records, with nearly Tens of millions records at risk.
In response, moved swiftly to contain the threat with measures like Redirecting traffic by registering abandoned domain.
The case underscores how Ongoing (research phase), teams are taking away lessons such as Cybercriminals exploit web standards and poor DNS hygiene to sustain long-term access. Defenders can leverage misconfigurations to monitor and disrupt such operations.
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 Drive-by Compromise (T1189) with high confidence (90%), supported by evidence indicating infection process began when users visited compromised or malicious sites and User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating tricked into enabling browser notifications amid deceptive pop-ups. Under the Persistence tactic, the analysis identified Browser Extensions (T1176) with moderate to high confidence (70%), supported by evidence indicating hidden service worker embedded in the browser maintained persistent access. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate confidence (60%), supported by evidence indicating evading detection behind random domains and hidden hosting and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating dNS misconfiguration (lame delegation) exploited to sustain access. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating fetching updated scripts and ad templates from the attacker’s servers and Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate to high confidence (70%), supported by evidence indicating evading detection behind random domains. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating intercepted tens of millions of records from thousands of infected browsers and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating browser notification data, user interaction records collected. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating redirecting traffic to their own servers without altering victim devices. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate to high confidence (80%), supported by evidence indicating fake security alerts, gambling ads, and adult-content lures bombarded victims. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Infoblox Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/infoblox/incident/INF1768815998
- Infoblox CyberSecurity Rating page: https://www.rankiteo.com/company/infoblox
- Infoblox Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/inf1768815998-infoblox-cyber-attack-january-2026/
- Infoblox CyberSecurity Score History: https://www.rankiteo.com/company/infoblox/history
- Infoblox CyberSecurity Incident Source: https://cybersecuritynews.com/researchers-gained-access-to-hacker-domain-server/
- 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