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Analyze » Secutec » SECSEC1768801314

Incident Score: Analysis & Impact (SECSEC1768801314)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-87
Company Score Before Incident751 / 1000
Company Score After Incident664 / 1000
INCIDENT NUMBERSECSEC1768801314
Type of Cyber IncidentBreach
ATTACK VECTORThird-party suppliers, Password-stealing malware
DATA EXPOSEDOver 72,000 personal and login...
INCIDENT DATE30/09/2024
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Secutec'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 Secutec 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 Secutec breach identified under incident ID SECSEC1768801314.

The analysis begins with a detailed overview of Secutec's information like the linkedin page: https://www.linkedin.com/company/secutec, the number of followers: 4694, the industry type: Computer and Network Security and the number of employees: 117 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 751 and after the incident was 664 with a difference of -87 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 Secutec and their customers.

AZ Monica hospital recently reported "Belgian Hospitals and Organizations Hit by Supply Chain Data Breaches", a noteworthy cybersecurity incident.

Security firm Secutec uncovered a series of data breaches affecting at least five Belgian hospitals and additional commercial and government entities, exposing over 72,000 personal and login credentials on the darknet.

The disruption is felt across the environment, affecting Patient registration software, IT supplier systems, and exposing Over 72,000 personal and login credentials, with nearly Over 72,000 (71,000+ from hospitals, 1,000 from other organizations) records at risk.

In response, moved swiftly to contain the threat with measures like Password resets, Network scans to detect further intrusions, and began remediation that includes Backup system testing, and stakeholders are being briefed through Alerts to affected hospitals and organizations.

The case underscores how Ongoing, teams are taking away lessons such as Vulnerabilities often originate from external suppliers, necessitating stricter third-party security audits. Password-stealing malware poses a significant threat when installed unintentionally by IT personnel, and recommending next steps like Implement stricter oversight of third-party vendors, enforce third-party security audits, conduct regular password resets, test backup systems, and perform network scans to detect intrusions, with advisories going out to stakeholders covering Cybersecurity Center Belgium and affected hospitals notified.

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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating incidents stemmed from cyberattacks on third-party suppliers and Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating patient registration software provider used by the hospitals compromised. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating password-stealing malware often installed unintentionally by IT personnel. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating over 72,000 personal and login credentials exposed on the darknet and Input Capture: Keylogging (T1056.001) with moderate to high confidence (70%), supported by evidence indicating password-stealing malware poses an equal threat. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal and login credentials compromised via third-party suppliers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exposed on the darknet and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating credentials exposed on the darknet. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating potential brand reputation impact due to data exposure. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Compromise Software Supply Chain (90%)
Execution
User Execution: Malicious File (80%)
Credential Access
Credentials from Password Stores (90%)
Input Capture: Keylogging (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (40%)

Sources & References