Incident Score: Analysis & Impact (INT1786635189)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Integer Holdings Corporation'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 Integer Holdings Corporation 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 Integer Holdings Corporation breach identified under incident ID INT1786635189.
The analysis begins with a detailed overview of Integer Holdings Corporation's information like the linkedin page: https://www.linkedin.com/company/integer-holdings, the number of followers: 73652, the industry type: Medical Equipment Manufacturing and the number of employees: 3881 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 775 and after the incident was 708 with a difference of -67 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 Integer Holdings Corporation and their customers.
On 11 August 2026, Integer Precision Technologies LLC disclosed Data Breach issues under the banner "Integer Precision Technologies Data Breach Exposes Sensitive Personal Information".
Integer Precision Technologies LLC, a Massachusetts-based medical device company specializing in fluoropolymer coatings for healthcare products, reported a significant data breach involving unauthorized access to a SaaS file-sharing application, resulting in the exposure of se...
The disruption is felt across the environment, affecting SaaS file-sharing application, and exposing Sensitive personal information, including names, Social Security numbers, dates of birth, email and postal addresses, phone numbers, driver’s license and passport numbers, financial account details, medical records, and limited health-related data.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing.
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 to high confidence (80%), supported by evidence indicating unauthorized access to a SaaS file-sharing application and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed files (implies compromised credentials). Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to a SaaS file-sharing application and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating no details on how unauthorized access was achieved. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating compromised information included names, SSNs, medical records, etc. and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating saaS file-sharing application contained sensitive personal data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed files (implies data exfiltration) and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating saaS file-sharing application used (possible cloud exfiltration). Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to sensitive data (potential manipulation) and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on data integrity post-breach. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Integer Holdings Corporation Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/integer-holdings/incident/INT1786635189
- Integer Holdings Corporation CyberSecurity Rating page: https://www.rankiteo.com/company/integer-holdings
- Integer Holdings Corporation Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/int1786635189-integer-precision-technologies-llc-integer-holdings-corp-breach-december-2025/
- Integer Holdings Corporation CyberSecurity Score History: https://www.rankiteo.com/company/integer-holdings/history
- Integer Holdings Corporation CyberSecurity Incident Source: https://www.claimdepot.com/investigations/integer-precision-technologies-data-breach-2026
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf