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Analyze » U.S. Oil & Refining Co. » U.SCYB1780676705

Incident Score: Analysis & Impact (U.SCYB1780676705)

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 Incident746 / 1000
Company Score After Incident735 / 1000
Company LinkView U.S. Oil & Refining Co. Profile
INCIDENT NUMBERU.SCYB1780676705
Type of Cyber IncidentCyber Attack
ATTACK VECTORExposed internet-facing systems, Exploitation of vulnerabilities
DATA EXPOSEDNA
INCIDENT DATE30/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of U.S. Oil & Refining Co.'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 U.S. Oil & Refining Co. 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 U.S. Oil & Refining Co. breach identified under incident ID U.SCYB1780676705.

The analysis begins with a detailed overview of U.S. Oil & Refining Co.'s information like the linkedin page: https://www.linkedin.com/company/u.s.-oil-&-refining-co., the number of followers: 326, the industry type: Oil and Gas and the number of employees: 79 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 746 and after the incident was 735 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 U.S. Oil & Refining Co. and their customers.

On 03 October 2023, a cybersecurity incident called "U.S. Government Warns of Widespread Attacks on Exposed Fuel and Chemical Tank Monitoring Systems" came to light.

Over 900 automatic tank gauge (ATG) systems critical devices used to monitor fuel and chemical storage tanks in the U.S.

The disruption is felt across the environment, affecting Over 900 ATG systems in the U.S.

In response, moved swiftly to contain the threat with measures like Restricting remote access, Replacing default passwords and Applying security updates.

The case underscores how Ongoing, and recommending next steps like Restrict remote access to ATG systems, Replace default passwords and Apply security updates, with advisories going out to stakeholders covering Joint advisory issued by U.S. federal agencies.

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%), supported by evidence indicating over 900 ATG systems found exposed online and under active attack and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating internet-facing systems...exploiting vulnerabilities including hardcoded credentials. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate to high confidence (70%), supported by evidence indicating hardcoded credentials...exploited to alter system settings and Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (80%), supported by evidence indicating replacing default passwords recommended as containment measure. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating exposed internet-facing ATG systems as root cause. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate confidence (60%), supported by evidence indicating authentication bypasses exploited to disable alerts. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating threat actors...disable alerts and alter system settings and Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (70%), supported by evidence indicating hardcoded credentials exploited for unauthorized access. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate confidence (50%), supported by evidence indicating aTG systems automate inventory control and leak detection. Under the Collection tactic, the analysis identified Automated Collection (T1119) with moderate confidence (60%), supported by evidence indicating aTGs automate inventory control and regulatory compliance. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating exposed internet-facing systems exploited via command execution flaws. Under the Impact tactic, the analysis identified Endpoint Denial of Service: OS Exhaustion Flood (T1499.001) with moderate confidence (60%), supported by evidence indicating risk of leaks or equipment damage due to altered settings and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate to high confidence (80%), supported by evidence indicating attackers manipulated display readings without altering actual fuel levels. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References