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Analyze » Oracle » UNIORA1782109726

Incident Score: Analysis & Impact (UNIORA1782109726)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-11
Company Score Before Incident609 / 1000
Company Score After Incident598 / 1000
INCIDENT NUMBERUNIORA1782109726
Type of Cyber IncidentCyber Attack
ATTACK VECTORSaaS applications compromise, Exploitation of vulnerabilities in enterprise platforms (e.g., Oracle EBS), Automated reconnaissance and intrusion campaigns
DATA EXPOSEDCustomer records, Financial details, Intellectual...
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Oracle'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 Oracle 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 Oracle breach identified under incident ID UNIORA1782109726.

The analysis begins with a detailed overview of Oracle's information like the linkedin page: https://www.linkedin.com/company/oracle, the number of followers: 11421378, the industry type: IT Services and IT Consulting and the number of employees: 207847 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 609 and after the incident was 598 with a difference of -11 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 Oracle and their customers.

A newly reported cybersecurity incident, "Ransomware Evolves: Data Theft and Extortion Take Center Stage in 2025 Cyberattacks", has drawn attention.

Cybercriminals are shifting tactics, moving away from traditional ransomware encryption toward data theft and extortion schemes that leverage the threat of public exposure.

The disruption is felt across the environment, and exposing Customer records, Financial details and Intellectual property, plus an estimated financial loss of $5.08 million (average), exceeding $10 million for large-scale breaches.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Organizations need to bolster early detection capabilities, expand security strategies beyond ransomware defenses, and prioritize SaaS access controls, phishing-resistant authentication, continuous leak monitoring, and faster incident response, and recommending next steps like Bolster early detection capabilities, Expand security strategies beyond ransomware defenses and Prioritize SaaS access controls.

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%), supported by evidence indicating exploitation of vulnerabilities in enterprise platforms (e.g., Oracle EBS), Phishing (T1566) with moderate to high confidence (70%), supported by evidence indicating phishing listed as a vulnerability exploited, and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating saaS applications compromise as an attack vector. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating automated reconnaissance and intrusion campaigns. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating saaS applications compromise implies credential abuse. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating automated reconnaissance and vulnerability scanning and Network Service Discovery (T1046) with moderate confidence (60%), supported by evidence indicating automated reconnaissance and intrusion campaigns. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating customer records, financial details, intellectual property compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating internal documents, bid documents, contracts stolen. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating rapid data exfiltration (as little as 72 minutes) and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating saaS applications compromise as an attack vector. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1471) with moderate confidence (50%), supported by evidence indicating 78% of incidents involved encryption (down from over 90%), Defacement (T1491) with lower confidence (40%), supported by evidence indicating threat of public exposure as extortion tactic, and Financial Theft (T1657) with moderate to high confidence (80%), supported by evidence indicating financial gain and extortion as primary motivations. Under the Defense Evasion tactic, the analysis identified Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating enhanced endpoint protection making file hijacking less effective and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating saaS applications compromise implies valid account abuse. 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%)
Phishing (70%)
External Remote Services (70%)
Execution
Command and Scripting Interpreter (60%)
Credential Access
Unsecured Credentials (70%)
Discovery
Account Discovery (60%)
Network Service Discovery (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (70%)
Impact
Data Encrypted for Impact (50%)
Defacement (40%)
Financial Theft (80%)
Defense Evasion
Disable or Modify Tools (60%)
Valid Accounts (70%)