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Analyze » OneSubsea » ONE1767600666

Incident Score: Analysis & Impact (ONE1767600666)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-8
Company Score Before Incident769 / 1000
Company Score After Incident761 / 1000
INCIDENT NUMBERONE1767600666
Type of Cyber IncidentCyber Attack
ATTACK VECTORCompromised Credentials
DATA EXPOSEDInsurance claim documents
INCIDENT DATE31/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of OneSubsea'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 OneSubsea 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 OneSubsea breach identified under incident ID ONE1767600666.

The analysis begins with a detailed overview of OneSubsea's information like the linkedin page: https://www.linkedin.com/company/onesubsea, the number of followers: 343402, the industry type: Oil and Gas and the number of employees: 7023 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 769 and after the incident was 761 with a difference of -8 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 OneSubsea and their customers.

Scania recently reported "Scania Insurance Claim Data Breach", a noteworthy cybersecurity incident.

Automotive giant Scania confirmed it suffered a cybersecurity incident where threat actors used compromised credentials to breach its Financial Services systems and steal insurance claim documents.

The disruption is felt across the environment, affecting Financial Services systems, and exposing Insurance claim documents.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Valid Accounts (T1078) with high confidence (95%), supported by evidence indicating attackers exploited **compromised credentials** to breach its **Financial Services systems**. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating ongoing risk of **credential-based attacks** in enterprise environments and Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (80%), supported by evidence indicating exploited **compromised credentials** to breach systems. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating threat actors... stole **insurance claim documents** and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including data exfiltration such as Yes, and threat actor hensi posted on a hacking forum selling the stolen data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating threatening to leak the stolen data unless their demands were met and Financial Theft (T1657) with moderate confidence (60%), with evidence including motivation such as Extortion, and attempted to sell the data to a single exclusive buyer. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating exploited **compromised credentials** (likely evading detection). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (95%)
Credential Access
Brute Force (70%)
Gather Victim Identity Information: Credentials (80%)
Exfiltration
Transfer Data to Cloud Account (70%)
Exfiltration Over C2 Channel (80%)
Impact
Data Encrypted for Impact (50%)
Financial Theft (60%)
Defense Evasion
Valid Accounts (90%)

Sources & References