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Analyze » IBM » FEDIBM1782872861

Incident Score: Analysis & Impact (FEDIBM1782872861)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-41
Company Score Before Incident794 / 1000
Company Score After Incident753 / 1000
Company LinkView IBM Profile
INCIDENT NUMBERFEDIBM1782872861
Type of Cyber IncidentBreach
ATTACK VECTORStolen or compromised credentials
DATA EXPOSEDPasswords, Social Security numbers, Personally...
INCIDENT DATE31/12/2023
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of IBM'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 IBM 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 IBM breach identified under incident ID FEDIBM1782872861.

The analysis begins with a detailed overview of IBM's information like the linkedin page: https://www.linkedin.com/company/ibm, the number of followers: 19659540, the industry type: IT Services and IT Consulting and the number of employees: 336062 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 794 and after the incident was 753 with a difference of -41 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 IBM and their customers.

A newly reported cybersecurity incident, "Data Breach Impacts Extend Far Beyond IT From Personal Fraud to Business Disruptions", has drawn attention.

A data breach carries severe consequences for individuals, businesses, and defense contractors, with financial, operational, and reputational damage that can persist long after the initial incident.

The disruption is felt across the environment, and exposing Passwords, Social Security numbers and Personally Identifiable Information, plus an estimated financial loss of $4.88 million (global average).

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Stronger cybersecurity measures reduce breach risks and help maintain operational integrity and contract readiness, and recommending next steps like Proactive security across all sectors to mitigate financial loss, operational disruption, and eroded trust.

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 stolen or compromised credentials identified as the most common attack vector. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating passwords...were compromised and Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating stolen or compromised credentials identified as the most common attack vector. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating passwords, Social Security numbers, Personally Identifiable Information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach with high sensitivity of data (High). Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating significant disruption (70% of breached organizations) and Defacement (T1491) with lower confidence (40%), supported by evidence indicating eroded trust and reputational harm. 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
Credentials from Password Stores (80%)
Brute Force (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (50%)
Defacement (40%)