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Analyze » Microsoft » ADOGOOMICEURBOO1776594302

Incident Score: Analysis & Impact (ADOGOOMICEURBOO1776594302)

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 Incident679 / 1000
Company Score After Incident664 / 1000
INCIDENT NUMBERADOGOOMICEURBOO1776594302
Type of Cyber IncidentBreach
ATTACK VECTORMalicious Plugins, Phishing, Sandbox Escape, Backdoor, Unicode/Emoji-Based Malware
DATA EXPOSEDTraveler names, contact details, and...
INCIDENT DATE16/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Microsoft's Breach 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 Microsoft 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 Microsoft breach identified under incident ID ADOGOOMICEURBOO1776594302.

The analysis begins with a detailed overview of Microsoft's information like the linkedin page: https://www.linkedin.com/company/microsoft, the number of followers: 27225811, the industry type: Software Development and the number of employees: 226477 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 679 and after the incident was 664 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 Microsoft and their customers.

Booking.com recently reported "Multiple Cybersecurity Incidents and Vulnerabilities in Tech Landscape", a noteworthy cybersecurity incident.

This week’s tech developments highlight rapid AI innovation, escalating cybersecurity threats, and strategic corporate moves.

The disruption is felt across the environment, affecting WordPress sites (30+ plugins), Android devices (EngageLab SDK) and Chrome extensions (108 malicious), and exposing Traveler names, contact details, and reservation data (Booking.com), Google and Telegram data (Malicious Chrome Extensions) and PII and biometric data (EU Age-Verification App).

In response, moved swiftly to contain the threat with measures like PIN resets and phishing warnings (Booking.com), Removal of malicious Chrome extensions (Google) and Patches for Adobe Acrobat Reader and Microsoft vulnerabilities, and began remediation that includes Emergency patch for CVE-2026-34621 (Adobe), EngageLab SDK update (Google) and Microsoft Windows patches (165 vulnerabilities).

The case underscores how Ongoing, and recommending next steps like Update detection systems to identify Unicode/emoji-based malware, Enforce stricter vetting for WordPress plugins and Chrome extensions and Enhance client-side encryption for enterprise platforms, with advisories going out to stakeholders covering Booking.com: PIN resets and phishing warnings and Google: Removal of malicious Chrome extensions.

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 Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including cVE-2026-34621 (Adobe Acrobat Reader), and sharePoint and Defender Zero-Days (Microsoft), Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating pHP backdoor in WordPress plugins (30+ plugins under Essential Plugin brand), and User Execution: Malicious Link (T1204.001) with moderate to high confidence (70%), supported by evidence indicating pIN resets and phishing warnings (Booking.com). Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), with evidence including cVE-2026-34621 (Adobe Acrobat Reader sandbox escape), and engageLab SDK Vulnerability (Android) and Command and Scripting Interpreter: Visual Basic (T1059.005) with moderate confidence (60%), supported by evidence indicating pHP backdoor in WordPress plugins. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with high confidence (90%), supported by evidence indicating pHP backdoor in WordPress plugins (hundreds of thousands of sites). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating cVE-2026-34621 (Adobe Acrobat Reader sandbox escape). Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information: Command Obfuscation (T1027.010) with moderate to high confidence (80%), supported by evidence indicating cybercriminals using emojis and Unicode characters to hide malware and Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (70%), supported by evidence indicating 108 malicious Chrome extensions stealing Google and Telegram data. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating engageLab SDK Vulnerability enabling crypto wallet access (50M Android devices) and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating eU age-verification app cracked within minutes (PIN resets, biometric bypass). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating traveler names, contact details, reservation data (Booking.com) and Data from Information Repositories: SharePoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating sharePoint zero-day vulnerabilities (Microsoft). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including data breach exposing traveler data (Booking.com), and google and Telegram data (malicious Chrome extensions). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating malicious WordPress plugins compromised hundreds of thousands of sites and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating pHP backdoor in WordPress plugins (potential for data manipulation). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (80%)
Supply Chain Compromise: Compromise Software Supply Chain (90%)
User Execution: Malicious Link (70%)
Execution
Exploitation for Client Execution (80%)
Command and Scripting Interpreter: Visual Basic (60%)
Persistence
Server Software Component: Web Shell (90%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Defense Evasion
Obfuscated Files or Information: Command Obfuscation (80%)
Masquerading: Match Legitimate Name or Location (70%)
Credential Access
Credentials from Password Stores (70%)
Brute Force: Password Guessing (60%)
Collection
Data from Local System (90%)
Data from Information Repositories: SharePoint (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Destruction (40%)
Data Manipulation: Stored Data Manipulation (50%)