Badge
11,371 badges added since 01 January 2025
โ† Back to United States Federal Government company page

United States Federal Government Breach Incident Score: Analysis & Impact (TENMYSTWITENCANADODEEFRIUNIBRA1769520245)

The Rankiteo video explains how the company United States Federal Government has been impacted by a Breach on the date January 01, 2025.

newsone

Incident Summary

Rankiteo Incident Impact
-266
Company Score Before Incident
754 / 1000
Company Score After Incident
488 / 1000
Company Link
Incident ID
TENMYSTWITENCANADODEEFRIUNIBRA1769520245
Type of Cyber Incident
Breach
Primary Vector
Compilation of Breaches (COB)
Data Exposed
26 billion records
First Detected by Rankiteo
January 01, 2025
Last Updated Score
April 02, 2026

If the player does not load, you can open the video directly.

newsone

Key Highlights From This Incident Analysis

  • Timeline of United States Federal Government'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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts United States Federal Government Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
newsone

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the United States Federal Government breach identified under incident ID TENMYSTWITENCANADODEEFRIUNIBRA1769520245.

The analysis begins with a detailed overview of United States Federal Government's information like the linkedin page: https://www.linkedin.com/company/united-states-federal-government, the number of followers: 9358, the industry type: Government Administration and the number of employees: 3884 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 754 and after the incident was 488 with a difference of -266 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 Federal Government and their customers.

Tencent recently reported "Mother of All Breaches (MOAB)", a noteworthy cybersecurity incident.

Security researchers uncovered a 12-terabyte database containing 26 billion records from thousands of prior data leaks, dubbed the 'Mother of All Breaches' (MOAB).

The disruption is felt across the environment, and exposing 26 billion records, with nearly 26 billion records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (owner of the dataset unknown), teams are taking away lessons such as Password-only authentication is obsolete against large-scale credential dumps. Multi-factor authentication (MFA), especially phishing-resistant methods like FIDO2 security keys, is critical. Continuous monitoring of credentials against breach databases is essential, and recommending next steps like Implement multi-factor authentication (MFA), preferably phishing-resistant methods like FIDO2 security keys, Monitor credentials against breach databases continuously and Educate users on password hygiene and the risks of password reuse.

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 high confidence (90%), with evidence including 26 billion records from thousands of prior data leaks, and dataset may include fresh infostealer malware data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating aggregating credentials from major platforms. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with high confidence (95%), with evidence including 12-terabyte database dubbed the Mother of All Breaches (MOAB), and 26 billion records containing credentials, Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating dataset may include fresh data from infostealer malware, which harvests browser cookies and autofill details, and Brute Force: Credential Stuffing (T1110.004) with high confidence (90%), with evidence including single, searchable repository for credential stuffing, and widespread password reuse. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating compilation of breaches (COB) aggregating credentials from major platforms and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating infostealer malware harvests current credentials, browser cookies, and autofill details. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating dataset may include fresh data from infostealer malware and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating 12-terabyte database found on an open, publicly accessible server. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malwareโ€™s origin or extent of breach and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating highly effective tool for cybercriminals, from low-level fraudsters to initial access brokers. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating employees reusing passwords across personal and work accounts and Subvert Trust Controls: Install Root Certificate (T1553.004) with moderate confidence (50%), supported by evidence indicating infostealer malware may harvest browser cookies and autofill details. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating single compromised credential could provide attackers with a foothold for devastating intrusions. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.