Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Lansing Community College » LAN1781029786

Incident Score: Analysis & Impact (LAN1781029786)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-80
Company Score Before Incident716 / 1000
Company Score After Incident636 / 1000
INCIDENT NUMBERLAN1781029786
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal information including names,...
INCIDENT DATE11/02/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Lansing Community College'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 Lansing Community College 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 Lansing Community College breach identified under incident ID LAN1781029786.

The analysis begins with a detailed overview of Lansing Community College's information like the linkedin page: https://www.linkedin.com/company/lansing-community-college, the number of followers: 50288, the industry type: Higher Education and the number of employees: 1960 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 716 and after the incident was 636 with a difference of -80 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 Lansing Community College and their customers.

On 18 February 2024, Lansing Community College disclosed Data Breach issues under the banner "Lansing Community College Data Breach".

Lansing Community College (LCC) in Michigan experienced a data breach on February 12, which was discovered six days later on February 18.

The disruption is felt across the environment, and exposing Sensitive personal information including names, addresses, dates of birth, driver’s license details, and Social Security numbers, with nearly 174,307 records at risk.

In response, and stakeholders are being briefed through Notification letters sent to affected individuals.

The case underscores how Ongoing, with advisories going out to stakeholders covering Offering 24 months of free credit monitoring and identity protection services to affected individuals.

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 moderate confidence (60%), supported by evidence indicating hackers accessed a range of data via internal systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach discovered six days after initial access (Feb 12). Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, driver’s license details compromised and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating sensitive personal information accessed via internal systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, addresses, dates of birth, SSNs compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating 174,307 records exposed via internal systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating no evidence of exfiltration or misuse (implied potential). Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high identity theft risk for 174,307 individuals. 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 (60%)
Exploit Public-Facing Application (50%)
Credential Access
OS Credential Dumping (70%)
Credentials from Password Stores (60%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (50%)
Impact
Data Manipulation: Stored Data Manipulation (40%)

Sources & References