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Analyze » TotalEnergies » TOT1768828235

Incident Score: Analysis & Impact (TOT1768828235)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-46
Company Score Before Incident799 / 1000
Company Score After Incident753 / 1000
INCIDENT NUMBERTOT1768828235
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED184 million records
INCIDENT DATE31/07/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of TotalEnergies's Breach 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 TotalEnergies 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 TotalEnergies breach identified under incident ID TOT1768828235.

The analysis begins with a detailed overview of TotalEnergies's information like the linkedin page: https://www.linkedin.com/company/totalenergies, the number of followers: 5079578, the industry type: Oil and Gas and the number of employees: 82218 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 799 and after the incident was 753 with a difference of -46 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 TotalEnergies and their customers.

TotalEnergies recently reported "TotalEnergies Alleged Data Breach - 184 Million Records Leaked", a noteworthy cybersecurity incident.

Energy giant TotalEnergies is examining claims of a major data breach after a hacking group alleged it exfiltrated a database containing 184 million records and began publishing purported customer information on X (formerly Twitter).

The disruption is felt across the environment, and exposing 184 million records, with nearly 184 million records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 confidence (50%), supported by evidence indicating energy giant TotalEnergies is examining claims of a major data breach and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating no details on attack vector or vulnerability exploited. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating 184 million records containing customer information allegedly exfiltrated. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating database containing 184 million records allegedly exfiltrated and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating purported customer information published on X (formerly Twitter). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating hacking group alleged it exfiltrated a database containing 184 million records and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating hackers posted samples of the data online on X (formerly Twitter). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no confirmation of data destruction or encryption and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating hackers posted purported customer information online. 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 (50%)
Trusted Relationship (40%)
Credential Access
Unsecured Credentials (60%)
Collection
Data from Local System (70%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (80%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References