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Analyze » Social Security Advisory Committee » SOC1770515959

Incident Score: Analysis & Impact (SOC1770515959)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-103
Company Score Before Incident661 / 1000
Company Score After Incident558 / 1000
INCIDENT NUMBERSOC1770515959
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat / Misconfiguration
DATA EXPOSEDNames, Social Security numbers, addresses
INCIDENT DATE04/02/2026
STATUSOngoing (allegations not officially confirmed)

Key Highlights From The Incident Analysis

  • Timeline of Social Security Advisory Committee'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 Advisory Committee 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 Advisory Committee breach identified under incident ID SOC1770515959.

The analysis begins with a detailed overview of Social Security Advisory Committee's information like the linkedin page: https://www.linkedin.com/company/social-security-advisory-committee, the number of followers: 126, the industry type: Government Administration and the number of employees: 5 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 661 and after the incident was 558 with a difference of -103 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 Advisory Committee and their customers.

Social Security Administration (SSA) recently reported "Alleged Massive Social Security Data Breach by Former SSA Chief Data Officer", a noteworthy cybersecurity incident.

A whistleblower alleges that employees of the Department of Government Efficiency (DOGE) uploaded a full copy of the SSA’s database to an unsecured cloud environment, exposing sensitive information including names, Social Security numbers, and addresses to significant risk.

The disruption is felt across the environment, affecting SSA database, and exposing Names, Social Security numbers, addresses, with nearly Potentially all U.S. citizens with a Social Security number records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (allegations not officially confirmed), and recommending next steps like Immediate congressional investigation, enhanced federal data security practices, and stricter cloud storage protocols for sensitive data, with advisories going out to stakeholders covering Congressional scrutiny recommended.

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 full copy and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating dOGE employees uploaded SSA database to unsecured cloud environment. Under the Credential Access tactic, the analysis identified Cloud Instance Metadata API (T1552.005) with moderate confidence (60%), supported by evidence indicating unsecured cloud environment exposing sensitive information. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating full copy of the SSA’s database uploaded to unsecured cloud and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, Social Security numbers, and addresses exposed. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (90%), supported by evidence indicating uploaded a full copy of the SSA’s database to an unsecured cloud and Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating potential national security disaster involving personal data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating severe, long-term consequences for millions of Americans and Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating systemic vulnerabilities in how sensitive data is handled. Under the Defense Evasion tactic, the analysis identified Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating unsecured cloud environment highlights systemic vulnerabilities and Valid Accounts: Default Accounts (T1078.001) with moderate confidence (60%), supported by evidence indicating employees uploaded data without proper security controls. 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%)
Trusted Relationship (80%)
Credential Access
Cloud Instance Metadata API (60%)
Collection
Data from Information Repositories (90%)
Data from Local System (80%)
Exfiltration
Transfer Data to Cloud Account (90%)
Exfiltration Over C2 Channel (50%)
Impact
Data Destruction (40%)
Stored Data Manipulation (30%)
Defense Evasion
Disable or Modify Tools (50%)
Valid Accounts: Default Accounts (60%)