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Analyze » COMHAR, Inc. » COM1788964486

Incident Score: Analysis & Impact (COM1788964486)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-60
Company Score Before Incident761 / 1000
Company Score After Incident701 / 1000
INCIDENT NUMBERCOM1788964486
Type of Cyber IncidentBreach
ATTACK VECTORUnknown (initial access via dark web threat actor claim)
DATA EXPOSEDPersonally identifiable information (PII) and...
INCIDENT DATE03/09/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of COMHAR, Inc.'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 COMHAR, Inc. 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 COMHAR, Inc. breach identified under incident ID COM1788964486.

The analysis begins with a detailed overview of COMHAR, Inc.'s information like the linkedin page: https://www.linkedin.com/company/comhar-inc-, the number of followers: 2871, the industry type: Individual and Family Services and the number of employees: 511 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 761 and after the incident was 701 with a difference of -60 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 COMHAR, Inc. and their customers.

On 04 September 2026, COMHAR Inc. disclosed Data Breach issues under the banner "COMHAR Inc. Data Breach Impacting Sensitive Health and Personal Information".

Philadelphia-based nonprofit COMHAR Inc.

The disruption is felt across the environment, and exposing Personally identifiable information (PII) and protected health information (PHI).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Investigation and confirmation of unauthorized access, and began remediation that includes Notification of affected individuals, establishment of a helpline, and stakeholders are being briefed through Public notice, dedicated helpline, written request option.

The case underscores how Ongoing, with advisories going out to stakeholders covering Helpline established (1-888-941-5180), written request option available.

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 Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating threat actor Worldleaks posted on the dark web claiming data theft and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating unusual network activity detected; initial access vector unknown. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating pII/PHI accessed, including Social Security numbers and health details and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating unauthorized actor copied files/folders; likely credential misuse. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, addresses, SSNs, treatment notes, diagnoses compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating protected health information (PHI) and PII exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating worldleaks claimed data theft; files copied by unauthorized actor and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating threat actor posted on dark web; data exfiltration confirmed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating unauthorized actor copied files; no confirmation of destruction and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high-risk identity theft; potential misuse of compromised data. Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1070) with moderate confidence (50%), supported by evidence indicating unusual network activity detected late; investigation ongoing and Hide Artifacts (T1564) with lower confidence (40%), supported by evidence indicating threat actor evaded detection until July 1, 2026. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Trusted Relationship (50%)
Exploit Public-Facing Application (40%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)
Defense Evasion
Indicator Removal (50%)
Hide Artifacts (40%)

Sources & References