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Analyze » City of Inman » SPAINMCITGRE1770381538

Incident Score: Analysis & Impact (SPAINMCITGRE1770381538)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-36
Company Score Before Incident759 / 1000
Company Score After Incident723 / 1000
INCIDENT NUMBERSPAINMCITGRE1770381538
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDPersonal information of over 500,000...
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of City of Inman'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 City of Inman 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 City of Inman breach identified under incident ID SPAINMCITGRE1770381538.

The analysis begins with a detailed overview of City of Inman's information like the linkedin page: https://www.linkedin.com/company/inman-city-of, the number of followers: 164, the industry type: Government Administration and the number of employees: 11 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 759 and after the incident was 723 with a difference of -36 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 City of Inman and their customers.

Laurens School District 56 recently reported "South Carolina Local Governments Hit by Massive Cyberattacks in 2025", a noteworthy cybersecurity incident.

In 2025, nearly a dozen local government offices and agencies across South Carolina fell victim to cyberattacks, compromising the personal information of more than 500,000 residents and resulting in the theft of public funds.

The disruption is felt across the environment, and exposing Personal information of over 500,000 residents, with nearly Over 500,000 records at risk, plus an estimated financial loss of Public funds stolen (amount undisclosed).

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Persistent vulnerabilities in state and local cybersecurity, particularly among smaller municipalities with limited resources. Cyber threats often exploit human error rather than technical weaknesses, making employee training and awareness critical, and recommending next steps like Invest in cybersecurity modernization, workforce development, and employee training. Prioritize cybersecurity spending to prevent attacks.

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 cyber threats often exploit human error rather than technical weaknesses and Exploit Public-Facing Application (T1190) with moderate confidence (50%), with evidence including limited cybersecurity resources, and smaller municipalities with limited resources. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), with evidence including human error, limited cybersecurity resources, and exploit human error. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal information of over 500,000 residents compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including data exfiltration, and personal information...compromised and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating financial gain, Data exfiltration motivation. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating no details on malware’s involvement but high impact and Account Access Removal (T1531) with lower confidence (30%), supported by evidence indicating reputational damage to local governments. Under the Financial Theft tactic, the analysis identified Financial Theft (T1657) with high confidence (90%), with evidence including hackers stole money, and public funds stolen (amount undisclosed). 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
Unsecured Credentials (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Alternative Protocol (60%)
Impact
Data Encrypted for Impact (40%)
Account Access Removal (30%)
Financial Theft
Financial Theft (90%)