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Analyze » GL Assessment » MARGL-1784204737

Incident Score: Analysis & Impact (MARGL-1784204737)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-261
Company Score Before Incident772 / 1000
Company Score After Incident511 / 1000
INCIDENT NUMBERMARGL-1784204737
Type of Cyber IncidentRansomware
ATTACK VECTORSocial Engineering, SIM-swapping, Credential Theft
DATA EXPOSEDCustomer data exposed
INCIDENT DATE31/12/2023
STATUSCompleted (convictions secured)

Key Highlights From The Incident Analysis

  • Timeline of GL Assessment'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 GL Assessment 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 GL Assessment breach identified under incident ID MARGL-1784204737.

The analysis begins with a detailed overview of GL Assessment's information like the linkedin page: https://www.linkedin.com/company/gl-assessment, the number of followers: 4527, the industry type: Education and the number of employees: 68 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 772 and after the incident was 511 with a difference of -261 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 GL Assessment and their customers.

Transport for London (TfL) recently reported "Scattered Spider Hackers Sentenced in Landmark U.K. Cybercrime Case", a noteworthy cybersecurity incident.

Two key members of the Scattered Spider cybercrime group were sentenced to over five years in prison for their roles in the 2024 cyberattack on Transport for London (TfL), marking the largest prosecution under the U.K.’s Computer Misuse Act to date.

The disruption is felt across the environment, affecting 148 internal systems unavailable, and exposing Customer data exposed, plus an estimated financial loss of £29 million ($39 million).

In response, moved swiftly to contain the threat with measures like Attack contained before crippling London’s transport network, and began remediation that includes Password resets for 27,000 employees, system recovery.

The case underscores how Completed (convictions secured), teams are taking away lessons such as Importance of early victim reporting and swift engagement with law enforcement. Proposed Cyber Crime Risk Orders to restrict convicted offenders' access to technology post-release, and recommending next steps like Enhance social engineering and credential theft defenses, implement Cyber Crime Risk Orders, improve incident response planning, with advisories going out to stakeholders covering Security officials emphasized the importance of early victim reporting and proposed Cyber Crime Risk Orders to prevent reoffending.

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 Phishing (T1566) with high confidence (90%), supported by evidence indicating scattered Spider...known for using social engineering, Modify Authentication Process: Replay Attack (T1556.005) with moderate to high confidence (80%), supported by evidence indicating sIM-swapping...to gain access, and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating credential theft to gain access. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate to high confidence (80%), supported by evidence indicating sIM-swapping...to gain access, Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating credential theft...before deploying ransomware, and Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating 27,000 employees forced to reset passwords in person. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (80%), supported by evidence indicating 148 internal systems unavailable and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating credential theft to gain access before deploying ransomware. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating type such as Ransomware, deploying ransomware or extortion campaigns, Defacement (T1491) with moderate confidence (60%), supported by evidence indicating widespread disruption, Oyster card refund system disrupted, and Service Stop (T1489) with moderate to high confidence (80%), supported by evidence indicating 148 internal systems unavailable. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating customer data exposed, data breach impacting operations. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating 148 internal systems unavailable and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating credential theft to gain access. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (90%)
Modify Authentication Process: Replay Attack (80%)
Valid Accounts (90%)
Credential Access
Modify Authentication Process (80%)
Brute Force (70%)
Credentials from Password Stores (70%)
Lateral Movement
Remote Services (80%)
Valid Accounts (90%)
Impact
Data Encrypted for Impact (90%)
Defacement (60%)
Service Stop (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (70%)
Valid Accounts (80%)

Sources & References