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Analyze » Security-Assessment.com » SEC1782152684

Incident Score: Analysis & Impact (SEC1782152684)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-35
Company Score Before Incident768 / 1000
Company Score After Incident733 / 1000
INCIDENT NUMBERSEC1782152684
Type of Cyber IncidentCyber Attack
ATTACK VECTORUnauthorized access via breached credentials
DATA EXPOSEDPersonal data of customers
INCIDENT DATE30/08/2024
STATUSCompleted (guilty pleas)

Key Highlights From The Incident Analysis

  • Timeline of Security-Assessment.com'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 Security-Assessment.com 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 Security-Assessment.com breach identified under incident ID SEC1782152684.

The analysis begins with a detailed overview of Security-Assessment.com's information like the linkedin page: https://www.linkedin.com/company/security-assessment.com, the number of followers: 0, the industry type: Computer and Network Security and the number of employees: None 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 768 and after the incident was 733 with a difference of -35 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 Security-Assessment.com and their customers.

On 31 August 2024, Transport for London (TfL) disclosed Cyber Attack issues under the banner "Two Men Plead Guilty in £39m TfL Cyber Attack Disrupting Millions".

Two UK men, Thalha Jubair (20) and Owen Flowers (18), pleaded guilty to charges related to a major cyber attack on Transport for London (TfL) that caused three months of disruption and financial losses exceeding £39 million.

The disruption is felt across the environment, affecting Oyster refund system, Customer refund portal and Child and youth Oyster photocard application system, and exposing Personal data of customers, plus an estimated financial loss of £39 million.

In response, and stakeholders are being briefed through Customer notifications about unauthorized access to personal data.

The case underscores how Completed (guilty pleas), with advisories going out to stakeholders covering Notifications about unauthorized access to personal data.

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 (90%), with evidence including unauthorized access via breached credentials, and used tools selling breached credentials. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (80%), supported by evidence indicating accessing tools selling breached credentials. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), with evidence including three months of disruption, and unauthorized access to TfL’s systems. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (80%), supported by evidence indicating three months of disruption to refund services and online systems and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (60%), supported by evidence indicating disruption to Oyster refund system and customer refund portal. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to personal data of 10 million customers. Under the Command and Control tactic, the analysis identified Web Service (T1102) with moderate to high confidence (70%), supported by evidence indicating used Telegram and an online collaborative workspace to coordinate activities. 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 (90%)
Credential Access
Gather Victim Identity Information: Credentials (80%)
Persistence
Valid Accounts (70%)
Impact
Endpoint Denial of Service: Application or System Exploitation (80%)
Data Manipulation: Stored Data Manipulation (60%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Command and Control
Web Service (70%)

Sources & References