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Analyze » OVHcloud » LEAGOOVELOVHHOS1781109328

Incident Score: Analysis & Impact (LEAGOOVELOVHHOS1781109328)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-20
Company Score Before Incident637 / 1000
Company Score After Incident617 / 1000
INCIDENT NUMBERLEAGOOVELOVHHOS1781109328
Type of Cyber IncidentCyber Attack
ATTACK VECTORSpam emails with malicious links, Google Cloud Storage abuse, JavaScript redirects
DATA EXPOSEDCredentials, personally identifiable information (PII)
INCIDENT DATE03/06/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of OVHcloud'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 OVHcloud 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 OVHcloud breach identified under incident ID LEAGOOVELOVHHOS1781109328.

The analysis begins with a detailed overview of OVHcloud's information like the linkedin page: https://www.linkedin.com/company/ovhgroup, the number of followers: 282711, the industry type: Software Development and the number of employees: 3163 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 637 and after the incident was 617 with a difference of -20 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 OVHcloud and their customers.

Google Cloud Storage recently reported "Large-Scale Phishing Infrastructure Uncovered: 12,704 Servers Exploit Google Cloud and Scraped NYT Content", a noteworthy cybersecurity incident.

A recent investigation has exposed a sophisticated, globally distributed phishing operation leveraging 12,704 internet-facing servers across 55 countries to facilitate spam and credential-harvesting campaigns.

The disruption is felt across the environment, affecting 12,704 internet-facing servers across 55 countries, and exposing Credentials, personally identifiable information (PII).

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as The campaign's design prioritizes persistence and evasion through distributed hosting, EOL software, and abuse of trusted cloud services. Selective targeting and rapid infrastructure rotation complicate detection and takedown efforts, and recommending next steps like Victims should assume compromised credentials and enable multi-factor authentication (MFA). Organizations should monitor for abuse of cloud services, update outdated software, and implement advanced phishing detection mechanisms, with advisories going out to stakeholders covering Victims who entered credentials on any linked page should assume their data is compromised. Even clicking a link may confirm an email address as active, increasing future spam exposure.

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 (95%), supported by evidence indicating victims receive spam emails with links to Google Cloud Storage URLs and Phishing: Spearphishing Link (T1566.002) with high confidence (90%), supported by evidence indicating spam emails with malicious links, Google Cloud Storage abuse. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with high confidence (90%), supported by evidence indicating victims receive spam emails with links to Google Cloud Storage URLs and Command and Scripting Interpreter: JavaScript (T1059.007) with moderate to high confidence (85%), supported by evidence indicating javaScript redirects obscure the final phishing destination. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Install Root Certificate (T1553.004) with moderate confidence (50%), supported by evidence indicating exploit Google Cloud Storage to bypass initial suspicion, Masquerading (T1036) with high confidence (90%), supported by evidence indicating landing pages mimic The New York Times to deceive security scanners, Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating abuse of Google Cloud Storage (trusted domain such as storage.googleapis.com), and Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating 99.8% of servers run end-of-life (EOL) software (Apache/2.4.52, etc.). Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle: LLMNR/NBT-NS Poisoning and SMB Relay (T1557.001) with lower confidence (40%), supported by evidence indicating phishing pages likely harvest credentials (motivation such as credential harvesting) and Input Capture: Keylogging (T1056.001) with moderate to high confidence (70%), supported by evidence indicating victims who enter personal or financial data have their information compromised. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating selective targeting via factors like location, browser type, or referral source. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate confidence (50%), supported by evidence indicating automated deployment from a small set of server images (EOL software). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating victims who enter personal or financial data have their information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating credentials harvested (data exfiltration such as likely). Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating landing pages mimic The New York Times (brand impersonation) and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but infrastructure designed for persistence. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (95%)
Phishing: Spearphishing Link (90%)
Execution
User Execution: Malicious Link (90%)
Command and Scripting Interpreter: JavaScript (85%)
Defense Evasion
Subvert Trust Controls: Install Root Certificate (50%)
Masquerading (90%)
Valid Accounts (70%)
Exploitation for Privilege Escalation (60%)
Credential Access
Adversary-in-the-Middle: LLMNR/NBT-NS Poisoning and SMB Relay (40%)
Input Capture: Keylogging (70%)
Discovery
Account Discovery (60%)
Lateral Movement
Exploitation of Remote Services (50%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Defacement: Internal Defacement (60%)
Data Destruction (30%)