Pii, A Jabil Company Breach Incident Score: Analysis & Impact (PHA1766527959)

In this Rankiteo incident briefing, we review the Pii, A Jabil Company breach identified under incident ID PHA1766527959.

The analysis begins with a detailed overview of Pii, A Jabil Company's information like the linkedin page: https://www.linkedin.com/company/pharmaceutics-international, the number of followers: 10409, the industry type: Pharmaceutical Manufacturing and the number of employees: 354 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 689 with a difference of -66 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 Pii, A Jabil Company and their customers.

On 23 December 2025, Pharmaceutics International, Inc. disclosed Data Breach issues under the banner "Pharmaceutics International, Inc. Data Breach".

Pharmaceutics International, Inc., a leading contract development and manufacturing organization in the pharmaceutical industry, recently disclosed a significant data breach involving sensitive personally identifiable information (PII).

The disruption is felt across the environment, and exposing Sensitive personally identifiable information (PII).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Secured systems, and began remediation that includes Reviewed security policies and procedures; assessing security measures to reduce future risks, and stakeholders are being briefed through Notification to affected individuals; call center established.

The case underscores how Ongoing, and recommending next steps like Sign up for free Kroll credit monitoring and identity theft protection services, Monitor credit reports and financial accounts for unusual activity and Be alert for phishing emails or phone calls using exposed information, with advisories going out to stakeholders covering Call center established at 844-354-1388 (Monday through Friday, 9 a.m. to 6:30 p.m. ET).

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.

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 to high confidence (70%), supported by evidence indicating attack vector or responsible threat actor not yet identified and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating prominent contract development and manufacturing organization. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating exposed pay stubs and W-2 forms containing PII. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data breach involving highly sensitive PII; identity theft risk high and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating broad range of personal data exposed; no ransomware identified. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of ransomware or data encryption in incident and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high risk of identity theft and financial fraud noted. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.