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Analyze » Prince George's County, Maryland » PRI1782419063

Incident Score: Analysis & Impact (PRI1782419063)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-26
Company Score Before Incident766 / 1000
Company Score After Incident740 / 1000
INCIDENT NUMBERPRI1782419063
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDSensitive personal information, including names,...
INCIDENT DATE10/06/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Prince George's County, Maryland'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 Prince George's County, Maryland 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 Prince George's County, Maryland breach identified under incident ID PRI1782419063.

The analysis begins with a detailed overview of Prince George's County, Maryland's information like the linkedin page: https://www.linkedin.com/company/prince-george's-county-maryland, the number of followers: 19907, the industry type: Government Administration and the number of employees: 1358 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 766 and after the incident was 740 with a difference of -26 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 Prince George's County, Maryland and their customers.

On 11 June 2024, Prince George County disclosed Data Breach issues under the banner "Prince George County Cyberattack".

Prince George County, Maryland, fell victim to a cybersecurity attack discovered on or around June 11, after its technology team detected disruptions in county computer systems.

The disruption is felt across the environment, affecting County computer systems, and exposing Sensitive personal information, including names, addresses, dates of birth, driver’s license numbers, and Social Security numbers.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Isolating the attack, and began remediation that includes Systems secured, operations restored to normal, and stakeholders are being briefed through Offering complimentary credit monitoring to affected individuals.

The case underscores how Ongoing, and recommending next steps like Evaluating further steps to bolster network defenses, with advisories going out to stakeholders covering Complimentary credit monitoring offered 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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating disruptions in county computer systems detected by technology team and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating sensitive personal information of residents and employees exposed. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating names, addresses, dates of birth, driver’s license numbers, Social Security numbers compromised and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating sensitive personal information exposed via county computer systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive personal information...exposed via county computer systems and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating names, addresses, dates of birth, driver’s license numbers, SSNs compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating sensitive personal information potentially exposed and Automated Exfiltration (T1020) with moderate confidence (60%), supported by evidence indicating disruptions detected; systems isolated post-incident. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating disruptions in county computer systems detected and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating potentially exposed sensitive personal information. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating technology team detected disruptions in county computer systems and Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (50%), supported by evidence indicating incident response included isolating the attack. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Valid Accounts (60%)
Credential Access
OS Credential Dumping (70%)
Unsecured Credentials: Credentials In Files (60%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Automated Exfiltration (60%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (50%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (60%)
Indicator Removal: Clear Windows Event Logs (50%)

Sources & References