Incident Score: Analysis & Impact (IPP1775154672)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of IPPC Pharmacy'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 IPPC Pharmacy 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 IPPC Pharmacy breach identified under incident ID IPP1775154672.
The analysis begins with a detailed overview of IPPC Pharmacy's information like the linkedin page: https://www.linkedin.com/company/ippc-pharmacy, the number of followers: 274, the industry type: Pharmaceutical Manufacturing and the number of employees: 93 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 755 and after the incident was 623 with a difference of -132 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 IPPC Pharmacy and their customers.
On 27 February 2026, Innovative Pharmacy Packaging Corp. Inc. (IPPC) disclosed Data Breach issues under the banner "IPPC Data Breach Exposes Sensitive PII and PHI in 2025 Incident".
Innovative Pharmacy Packaging Corp.
The disruption is felt across the environment, affecting Technical network, and exposing PII and PHI.
In response, and stakeholders are being briefed through Public notice on website, notification letters, dedicated helpline and email.
The case underscores how Completed (as of February 9, 2026), with advisories going out to stakeholders covering Notification letters dated April 1, 2026; 24 months of free credit and identity monitoring offered.
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 actor accessed the system between September 18 and 19, 2025 and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating identified suspicious activity on its technical network. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unauthorized actor accessed the system; likely credential compromise and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating exposure of SSNs, government-issued IDs, and financial details. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exfiltrated files containing PII and PHI (e.g., SSNs, medical records) and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating compromised prescription, billing, claims, and medical record data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating unauthorized actor exfiltrated files from the technical network and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating data breach involved high-sensitivity PII/PHI; likely external transfer. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but high-risk data exposure and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating potential for fraud/identity theft due to exposed SSNs and medical records. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate confidence (50%), supported by evidence indicating unauthorized access persisted for ~24 hours before detection and Hide Artifacts: Hidden Files and Directories (T1564.001) with lower confidence (40%), supported by evidence indicating suspicious activity detected; likely evasion of initial monitoring. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- IPPC Pharmacy Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/ippc-pharmacy/incident/IPP1775154672
- IPPC Pharmacy CyberSecurity Rating page: https://www.rankiteo.com/company/ippc-pharmacy
- IPPC Pharmacy Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ipp1775154672-ippc-of-new-york-llc-innovative-pharmacy-llc-innovative-pharmacy-packaging-corp-inc-breach-september-2025/
- IPPC Pharmacy CyberSecurity Score History: https://www.rankiteo.com/company/ippc-pharmacy/history
- IPPC Pharmacy CyberSecurity Incident Source: https://www.claimdepot.com/data-breach/innovative-pharmacy-packaging-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