Incident Score: Analysis & Impact (ORA1772462454)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Oracle Security Services Ltd's Ransomware 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 Security Services Ltd 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 Security Services Ltd breach identified under incident ID ORA1772462454.
The analysis begins with a detailed overview of Oracle Security Services Ltd's information like the linkedin page: https://www.linkedin.com/company/oracle-security-services-ltd, the number of followers: 401, the industry type: Security and Investigations and the number of employees: 56 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 759 and after the incident was 647 with a difference of -112 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 Security Services Ltd and their customers.
A newly reported cybersecurity incident, "Ransomware Attack Vectors: How Threat Actors Infiltrate Organizations", has drawn attention.
Ransomware remains a critical threat to UK businesses, with cybercriminals employing increasingly sophisticated methods to breach systems.
Impact assessments are still underway, so the full scope is not yet clear.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Organizations must prioritize patch management, zero-trust principles, and proactive monitoring to mitigate ransomware risks, and recommending next steps like Address data breaches promptly, Monitor and mitigate insider threats and Secure supply chains.
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 high confidence (90%), with evidence including zero-day vulnerability in Oracle’s E-Business Suite, and exploiting Vulnerabilities in attack_vector, Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), with evidence including supply Chain Attacks in attack_vector, and cl0p ransomware group exploiting zero-day, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (80%), with evidence including phishing in attack_vector, and deceptive emails to trick users, Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), with evidence including phishing in attack_vector, and malicious links in deceptive emails, Drive-by Compromise (T1189) with moderate to high confidence (70%), with evidence including malvertising in attack_vector, and malicious ads on legitimate websites, External Remote Services (T1133) with moderate to high confidence (70%), with evidence including edge Devices in attack_vector, and misconfigured or unmonitored VPNs/firewalls, and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), with evidence including insider Threats in attack_vector, and attackers paying employees for credentials. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), with evidence including phishing in attack_vector, and users clicking malicious links and User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), with evidence including malvertising in attack_vector, and malware delivered via ads. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including insider Threats in attack_vector, and legitimate credentials used for access and External Remote Services (T1133) with moderate to high confidence (70%), with evidence including edge Devices in attack_vector, and unmonitored foothold via VPNs/firewalls. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including insider Threats in attack_vector, and legitimate credentials for elevated access and Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating unpatched or zero-day flaws in vulnerability_exploited. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), with evidence including insider Threats in attack_vector, and legitimate-looking access evades detection, Subvert Trust Controls: Code Signing (T1553.002) with moderate confidence (60%), with evidence including supply Chain Attacks in attack_vector, and compromised supplier software, and Masquerading (T1036) with moderate to high confidence (70%), with evidence including aI and Deepfakes in attack_vector, and cloned voices/videos to manipulate victims. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), with evidence including unaddressed Data Breaches in attack_vector, and exposed credentials from delayed responses, Credentials from Password Stores (T1555) with moderate to high confidence (70%), with evidence including unaddressed Data Breaches in attack_vector, and stolen credentials leveraged for access, Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), with evidence including unaddressed Data Breaches in attack_vector, and testing stolen credentials, and Impersonation (T1656) with moderate to high confidence (80%), with evidence including vishing (Voice Phishing) in attack_vector, and impersonating IT support/employees. Under the Discovery tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with moderate to high confidence (70%), with evidence including insider Threats in attack_vector, and legitimate credentials used for reconnaissance. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), with evidence including edge Devices in attack_vector, and vPNs/firewalls as entry points and Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including insider Threats in attack_vector, and legitimate credentials for lateral movement. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), with evidence including ransomware type in incident_details, and cl0p ransomware strain and Inhibit System Recovery (T1490) with moderate to high confidence (70%), with evidence including ransomware type in incident_details, and likely disruption of recovery mechanisms. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.