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Analyze » Social security Institution » SOC1770725680

Incident Score: Analysis & Impact (SOC1770725680)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-29
Company Score Before Incident837 / 1000
Company Score After Incident808 / 1000
INCIDENT NUMBERSOC1770725680
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat
DATA EXPOSEDMillions of Social Security records,...
INCIDENT DATE31/12/2024
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Social security Institution'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 Institution 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 Institution breach identified under incident ID SOC1770725680.

The analysis begins with a detailed overview of Social security Institution's information like the linkedin page: https://www.linkedin.com/company/social-security-institution, the number of followers: 0, the industry type: Insurance and the number of employees: 4661 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 837 and after the incident was 808 with a difference of -29 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 Institution and their customers.

Department of Government Efficiency (DOGE) recently reported "DOGE Data Breach Exposes Millions of Social Security Records in Alleged Election Interference Scheme", a noteworthy cybersecurity incident.

A major data breach involving the now-defunct Department of Government Efficiency (DOGE) has exposed millions of sensitive Social Security Administration (SSA) records, raising concerns over identity theft, benefit fraud, and potential election interference.

The disruption is felt across the environment, affecting Social Security Administration (SSA) systems, and exposing Millions of Social Security records, including Social Security numbers, bank routing details, and personal records, with nearly Millions 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 Phishing: Spearphishing Link (T1566.002) with lower confidence (40%), supported by evidence indicating heightened risks of phishing scams...tricking individuals into disclosing sensitive information and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating dOGE employees allegedly transferred confidential data...bypassing federal security protocols. 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 social Security numbers, bank routing details, and personal records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating dOGE employees allegedly transferred confidential data including Social Security numbers and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating cross-reference Social Security numbers with voter rolls to challenge election results. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (95%), supported by evidence indicating transferred confidential data...to an unauthorized private Cloudflare account and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating records reportedly shared with Elon Musk’s top aides and a third-party political group. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating weaponize the data...to challenge election results and Defacement: Internal Defacement (T1491.001) with moderate confidence (50%), supported by evidence indicating escalating the incident from a privacy violation to a potential criminal conspiracy. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Users (T1564.002) with moderate confidence (60%), supported by evidence indicating bypassing federal security protocols via unauthorized private Cloudflare account and Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (80%), supported by evidence indicating dOGE employees allegedly transferred confidential data...bypassing security. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (40%)
Valid Accounts (90%)
Credential Access
Unsecured Credentials: Credentials In Files (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Transfer Data to Cloud Account (95%)
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (30%)
Defacement: Internal Defacement (50%)
Defense Evasion
Hide Artifacts: Hidden Users (60%)
Valid Accounts: Local Accounts (80%)

Sources & References