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Analyze » Project Insight » GENPRO1772485033

Incident Score: Analysis & Impact (GENPRO1772485033)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-64
Company Score Before Incident751 / 1000
Company Score After Incident687 / 1000
Company LinkView Project Insight Profile
INCIDENT NUMBERGENPRO1772485033
Type of Cyber IncidentBreach
ATTACK VECTORSocial Engineering, Account Hacking
DATA EXPOSEDNA
INCIDENT DATE31/12/2024
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Project Insight'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 Project Insight 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 Project Insight breach identified under incident ID GENPRO1772485033.

The analysis begins with a detailed overview of Project Insight's information like the linkedin page: https://www.linkedin.com/company/projectinsight, the number of followers: 1948, the industry type: Software Development and the number of employees: 28 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 687 with a difference of -64 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 Project Insight and their customers.

On 01 January 2025, The Com disclosed Cyber Extremism and Online Exploitation issues under the banner "Project Compass Disrupts 'The Com' Extremist Network".

Project Compass, a multinational initiative, disrupted 'The Com', a decentralized extremist network targeting minors and vulnerable individuals online and offline.

Impact assessments are still underway, so the full scope is not yet clear.

In response, moved swiftly to contain the threat with measures like Identification of 179 perpetrators, disruption of network operations, and stakeholders are being briefed through Joint awareness-raising activities (9).

The case underscores how Ongoing, teams are taking away lessons such as Importance of international partnerships in countering transnational cyber threats and digital extremism, and recommending next steps like Enhance cross-border collaboration in cyber threat investigations, Implement stricter data privacy protections for minors and Adopt multi-disciplinary insider threat management teams (CISA guidance), with advisories going out to stakeholders covering Cross-border collaboration and awareness-raising activities.

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 moderate to high confidence (80%), supported by evidence indicating social Engineering listed as attack vector and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating account Hacking listed as attack vector, hacking social media accounts. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating hacking social media accounts and extorting hundreds of teens and Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating account Hacking implies possible brute force or credential stuffing. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating sensitive Information, Personally Identifiable Information compromised and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating data leak exposing sensitive information on the dark web. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Leaked on dark web (Insight Hospital and Medical Center). Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating disruption of extremist network operations as operational impact and Defacement (T1491) with lower confidence (40%), supported by evidence indicating extremist network targeting minors and vulnerable individuals online. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating account Hacking implies use of compromised cloud/social media accounts and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating decentralized extremist network implies evasion of detection. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (80%)
Valid Accounts (90%)
Credential Access
Credentials from Password Stores (70%)
Brute Force (60%)
Collection
Data from Information Repositories (80%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Destruction (50%)
Defacement (40%)
Defense Evasion
Valid Accounts: Cloud Accounts (70%)
Hide Artifacts (60%)

Sources & References