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Analyze » Social Security Administration Office of the Inspector General » SSA1773195890

Incident Score: Analysis & Impact (SSA1773195890)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-185
Company Score Before Incident760 / 1000
Company Score After Incident575 / 1000
Company LinkView Social Security Administration Office of the Inspector General Profile
INCIDENT NUMBERSSA1773195890
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat
DATA EXPOSEDSocial Security numbers, birthdates, citizenship...
INCIDENT DATE28/02/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Social Security Administration Office of the Inspector General'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 Social Security Administration Office of the Inspector General 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 Social Security Administration Office of the Inspector General breach identified under incident ID SSA1773195890.

The analysis begins with a detailed overview of Social Security Administration Office of the Inspector General's information like the linkedin page: https://www.linkedin.com/company/ssa-oig, the number of followers: 9417, the industry type: Government Administration and the number of employees: 189 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 760 and after the incident was 575 with a difference of -185 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 Social Security Administration Office of the Inspector General and their customers.

Social Security Administration (SSA) recently reported "Massive SSA Data Breach Under Investigation Following Whistleblower Allegations", a noteworthy cybersecurity incident.

The Social Security Administration’s (SSA) Office of the Inspector General (OIG) is investigating a whistleblower complaint alleging that a former employee of the Trump administration’s now-defunct Department of Government Efficiency (DOGE) misused highly sensitive personal da...

The disruption is felt across the environment, affecting SSA databases, and exposing Social Security numbers, birthdates, citizenship status, parents’ names, and other personal details, with nearly 500 million records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 high confidence (90%), with evidence including former DOGE software engineer (insider), and accessed two critical SSA databases. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating dOGE staffers had unauthorized access to SSA data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating accessed SSA databases containing Social Security numbers, birthdates and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating accessed two critical SSA databases containing personal details. Under the Exfiltration tactic, the analysis identified Exfiltration Over Physical Medium: Removable Media (T1052.001) with moderate to high confidence (80%), supported by evidence indicating planned to transfer the data to his personal computer via a thumb drive and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating dOGE employees...stored it insecurely on a cloud server. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating former DOGE software engineer (insider) accessed databases and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating intending to sanitize it before sharing. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating may have retained remote access to edit or manipulate SSA data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Credential Access
Unsecured Credentials: Credentials In Files (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over Physical Medium: Removable Media (80%)
Transfer Data to Cloud Account (60%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts: Hidden Files and Directories (50%)
Impact
Data Destruction (40%)

Sources & References