Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Pitney Bowes » PIT1777335822

Incident Score: Analysis & Impact (PIT1777335822)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-94
Company Score Before Incident629 / 1000
Company Score After Incident535 / 1000
INCIDENT NUMBERPIT1777335822
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED8.2 million email addresses, names,...
INCIDENT DATE20/04/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Pitney Bowes'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 Pitney Bowes 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 Pitney Bowes breach identified under incident ID PIT1777335822.

The analysis begins with a detailed overview of Pitney Bowes's information like the linkedin page: https://www.linkedin.com/company/pitney-bowes, the number of followers: 133327, the industry type: Software Development and the number of employees: 12782 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 629 and after the incident was 535 with a difference of -94 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 Pitney Bowes and their customers.

Pitney Bowes recently reported "Pitney Bowes Hit by ShinyHunters Data Breach: 8.2M Email Addresses Leaked", a noteworthy cybersecurity incident.

Last week, the hacking group ShinyHunters claimed Pitney Bowes as a victim in an extortion attack, later publicly dumping 8.2 million email addresses tied to the breach.

The disruption is felt across the environment, and exposing 8.2 million email addresses, names, physical addresses, phone numbers, employee job titles, with nearly 8.2 million records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 to high confidence (70%), supported by evidence indicating persistent risks of third-party data exposure in corporate environments and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating supply chain vulnerabilities highlighted as root cause. Under the Credential Access tactic, the analysis identified Compromise Accounts (T1586) with moderate confidence (60%), supported by evidence indicating 53% of leaked email addresses linked to LinkedIn profiles and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating third-party data exposure suggests credential leakage. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 8.2M email addresses, names, addresses, phone numbers, job titles exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating data tied to LinkedIn profiles suggests professional data collection. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating shinyHunters publicly dumped 8.2M records post-extortion and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating data breach involved public release of stolen information. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1471) with lower confidence (40%), supported by evidence indicating double-extortion tactics imply possible encryption threat and Defacement: External Defacement (T1491.002) with lower confidence (30%), supported by evidence indicating public dump of data as part of extortion attack. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating shinyHunters likely used C2 for data exfiltration. 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 (70%)
Exploit Public-Facing Application (50%)
Credential Access
Compromise Accounts (60%)
Unsecured Credentials: Credentials In Files (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (60%)
Impact
Data Encrypted for Impact (40%)
Defacement: External Defacement (30%)
Command and Control
Application Layer Protocol: Web Protocols (60%)

Sources & References