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Analyze » Social Security Administr » SOC1772105364

Incident Score: Analysis & Impact (SOC1772105364)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-92
Company Score Before Incident709 / 1000
Company Score After Incident617 / 1000
Company LinkView Social Security Administr Profile
INCIDENT NUMBERSOC1772105364
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat / Misconfiguration
DATA EXPOSEDNames, Social Security numbers, and...
INCIDENT DATE31/07/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Social Security Administr'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 Administr 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 Administr breach identified under incident ID SOC1772105364.

The analysis begins with a detailed overview of Social Security Administr's information like the linkedin page: https://www.linkedin.com/company/social-security-administr, the number of followers: 26, the industry type: Government Administration and the number of employees: 61 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 709 and after the incident was 617 with a difference of -92 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 Administr and their customers.

Social Security Administration (SSA) recently reported "Potential Massive Social Security Data Breach", a noteworthy cybersecurity incident.

A whistleblower has raised alarms over a potential national security disaster involving the exposure of sensitive Social Security Administration (SSA) data.

The disruption is felt across the environment, affecting SSA database, unsecured cloud environment, and exposing Names, Social Security numbers, and addresses of every American with an SSN, with nearly All Americans with an SSN 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%), supported by evidence indicating employees of the Department of Government Efficiency (DOGE) uploaded a copy and Phishing: Spearphishing Attachment (T1566.001) with lower confidence (30%), supported by evidence indicating no evidence of phishing, but insider threat implied. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (95%), supported by evidence indicating uploaded a copy of the SSA’s database to an unsecured cloud environment and Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method, but cloud upload suggests data transfer. Under the Credential Access tactic, the analysis identified Cloud Instance Metadata API (T1552.005) with lower confidence (40%), supported by evidence indicating unsecured cloud environment may imply misconfigured access controls. Under the Collection tactic, the analysis identified Data from Information Repositories: Sharepoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating sSA database containing names, Social Security numbers, and addresses and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating copy of the SSA’s database...uploaded to an unsecured cloud environment. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating unsecured cloud environment suggests lack of monitoring or controls and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating dOGE employees used legitimate access to upload data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of destruction, but high-risk exposure and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating potential for fraud due to exposed PII. 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%)
Phishing: Spearphishing Attachment (30%)
Exfiltration
Transfer Data to Cloud Account (95%)
Exfiltration Over C2 Channel (50%)
Credential Access
Cloud Instance Metadata API (40%)
Collection
Data from Information Repositories: Sharepoint (70%)
Data from Local System (80%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (60%)
Valid Accounts: Cloud Accounts (80%)
Impact
Data Destruction (20%)
Data Manipulation: Stored Data Manipulation (30%)

Sources & References