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Analyze » Innovative Scientific Solutions, Inc » INN1776803329

Incident Score: Analysis & Impact (INN1776803329)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-69
Company Score Before Incident746 / 1000
Company Score After Incident677 / 1000
INCIDENT NUMBERINN1776803329
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonally identifiable information (PII) and...
INCIDENT DATE05/09/2025
STATUSUnder review

Key Highlights From The Incident Analysis

  • Timeline of Innovative Scientific Solutions, 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 Innovative Scientific Solutions, 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 Innovative Scientific Solutions, Inc breach identified under incident ID INN1776803329.

The analysis begins with a detailed overview of Innovative Scientific Solutions, Inc's information like the linkedin page: https://www.linkedin.com/company/innovative-scientific-solutions-inc, the number of followers: 1896, the industry type: Defense and Space Manufacturing and the number of employees: 72 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 746 and after the incident was 677 with a difference of -69 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 Innovative Scientific Solutions, Inc and their customers.

On 07 April 2026, Innovative Scientific Solutions LLC disclosed Data Breach issues under the banner "Innovative Scientific Solutions LLC Data Breach".

Innovative Scientific Solutions LLC, a defense and space industry contractor, disclosed a data breach involving unauthorized access to its network, exposing sensitive personal and health information of nearly 200 individuals.

The disruption is felt across the environment, and exposing Personally identifiable information (PII) and protected health information (PHI), with nearly 195 records at risk.

In response, and began remediation that includes Provision of Experian IdentityWorks Credit 3B membership for affected individuals with compromised Social Security numbers, and stakeholders are being briefed through Dedicated response line (Monday-Friday, 9 a.m. to 9 p.m. Eastern Time).

The case underscores how Under review, with advisories going out to stakeholders covering Provision of Experian IdentityWorks Credit 3B membership and dedicated response line.

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 unauthorized third party had accessed the company’s systems and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating unauthorized access to its network (no specific vector mentioned). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unauthorized access suggests possible credential compromise and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating exposure of sensitive PII/PHI implies potential credential access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating files containing PII and PHI were potentially exfiltrated and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical histories, treatment records, prescription information accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potential exfiltration confirmed by forensic analysis and Transfer Data to Cloud Account (T1537) with lower confidence (30%), supported by evidence indicating no details on exfiltration method, but cloud storage possible. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of data destruction, but breach implies impact and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating no evidence of manipulation, but unauthorized access occurred. 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 (40%)
Credential Access
Unsecured Credentials (50%)
OS Credential Dumping (40%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (30%)
Impact
Data Destruction (20%)
Data Manipulation: Stored Data Manipulation (30%)

Sources & References