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Analyze » Internal Revenue Service » IRS1777365434

Incident Score: Analysis & Impact (IRS1777365434)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-54
Company Score Before Incident739 / 1000
Company Score After Incident685 / 1000
INCIDENT NUMBERIRS1777365434
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat (Contractor)
DATA EXPOSEDTax records
INCIDENT DATE30/04/2024
STATUSOngoing (settlement negotiations in progress)

Key Highlights From The Incident Analysis

  • Timeline of Internal Revenue Service'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 Internal Revenue Service 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 Internal Revenue Service breach identified under incident ID IRS1777365434.

The analysis begins with a detailed overview of Internal Revenue Service's information like the linkedin page: https://www.linkedin.com/company/irs, the number of followers: 365225, the industry type: Government Administration and the number of employees: 48949 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 739 and after the incident was 685 with a difference of -54 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 Internal Revenue Service and their customers.

Internal Revenue Service (IRS) recently reported "IRS Faces Perception Risks in Trump Tax Data Leak Settlement Talks", a noteworthy cybersecurity incident.

The IRS is navigating a high-stakes settlement negotiation with former President Donald Trump over the unauthorized leak of his tax records, raising concerns about public perception and institutional trust.

The disruption is felt across the environment, and exposing Tax records.

In response, and began remediation that includes Settlement negotiations, policy improvements for data security, and stakeholders are being briefed through Public statements on settlement progress, commitment to transparency.

The case underscores how Ongoing (settlement negotiations in progress), teams are taking away lessons such as Need for improved data security policies, independent oversight in politically sensitive cases, and consistent treatment of taxpayers to maintain public trust, and recommending next steps like Implement structural safeguards such as DOJ recusal or independent arbiter for settlement negotiations, Formalize commitment to treating materially identical claims consistently with judicial oversight and Enhance data security measures to prevent insider threats, with advisories going out to stakeholders covering Legal experts suggest independent oversight to ensure neutrality in the settlement process.

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 Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with lower confidence (40%), supported by evidence indicating iRS contractor accessed tax records without authorization. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating contractor likely used legitimate access to retrieve tax records and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating iRS contractor had authorized access to tax records. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating tax records and PII were compromised via internal access and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating leak involved tax records stored in IRS systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating tax records were leaked to media (external entity) and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating data exfiltration likely occurred via unauthorized disclosure. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating erosion of public trust in IRS due to data leak and Defacement (T1491) with lower confidence (40%), supported by evidence indicating brand reputation impact such as perception of favoritism. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Users (T1564.002) with moderate confidence (50%), supported by evidence indicating contractor exploited legitimate access to avoid detection. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Unsecured Credentials: Cloud Instance Metadata API (40%)
Credential Access
Credentials from Password Stores (60%)
Valid Accounts (90%)
Collection
Data from Local System (80%)
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (50%)
Exfiltration Over Web Service (60%)
Impact
Data Destruction (30%)
Defacement (40%)
Defense Evasion
Hide Artifacts: Hidden Users (50%)

Sources & References