Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » United States Postal Service » USP1776349784

Incident Score: Analysis & Impact (USP1776349784)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-65
Company Score Before Incident714 / 1000
Company Score After Incident649 / 1000
INCIDENT NUMBERUSP1776349784
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal data of 800,000 employees...
INCIDENT DATE31/12/2025
STATUSOngoing (FBI-led)

Key Highlights From The Incident Analysis

  • Timeline of United States Postal Service'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 United States Postal Service 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 United States Postal Service breach identified under incident ID USP1776349784.

The analysis begins with a detailed overview of United States Postal Service's information like the linkedin page: https://www.linkedin.com/company/usps, the number of followers: 380895, the industry type: Government Administration and the number of employees: 155927 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 714 and after the incident was 649 with a difference of -65 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 United States Postal Service and their customers.

On 10 November 2014, U.S. Postal Service (USPS) disclosed Data Breach issues under the banner "USPS Cyberattack Exposes Data of 800,000 Employees, Suspected State-Linked Hack".

The U.S.

The disruption is felt across the environment, and exposing Personal data of 800,000 employees and call center records of individuals who contacted USPS between January and August 2014, with nearly 800,000+ records at risk.

In response, and began remediation that includes Strengthened security measures.

The case underscores how Ongoing (FBI-led).

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 confidence (50%), supported by evidence indicating attack had been ongoing for at least two months prior to detection and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating state-sponsored actors likely used compromised credentials. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate confidence (60%), supported by evidence indicating attack ongoing for at least two months prior to detection. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating social Security numbers and other sensitive employee data compromised and Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating state-sponsored actors likely manipulated authentication. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, addresses, Social Security numbers, and other sensitive data exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating call center records potentially exposing names, addresses, phone numbers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating personal data of approximately 800,000 employees compromised and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating state-sponsored actors likely used covert channels for exfiltration. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating attack ongoing for at least two months suggests C2 communication. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but state-sponsored motive implies potential. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Valid Accounts (70%)
Persistence
Account Manipulation (60%)
Credential Access
OS Credential Dumping (70%)
Modify Authentication Process (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Command and Control
Application Layer Protocol (70%)
Impact
Data Destruction (30%)

Sources & References