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Analyze » Apple » LASAPP1782793516

Incident Score: Analysis & Impact (LASAPP1782793516)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-35
Company Score Before Incident774 / 1000
Company Score After Incident739 / 1000
Company LinkView Apple Profile
INCIDENT NUMBERLASAPP1782793516
Type of Cyber IncidentBreach
ATTACK VECTORThird-party tool compromise
DATA EXPOSEDCustomer contact information and physical...
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Apple'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 Apple 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 Apple breach identified under incident ID LASAPP1782793516.

The analysis begins with a detailed overview of Apple's information like the linkedin page: https://www.linkedin.com/company/apple, the number of followers: 18297555, the industry type: Computers and Electronics Manufacturing and the number of employees: 194686 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 774 and after the incident was 739 with a difference of -35 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 Apple and their customers.

LastPass recently reported "LastPass Security Incident Involving Third-Party Tool", a noteworthy cybersecurity incident.

LastPass disclosed a security incident involving a third-party tool, resulting in the theft of customer contact information and physical addresses.

The disruption is felt across the environment, and exposing Customer contact information and physical addresses.

In response, and stakeholders are being briefed through Public disclosure.

The case underscores how teams are taking away lessons such as Risks of relying on third-party services in critical security infrastructure, and recommending next steps like Review and strengthen third-party security protocols, with advisories going out to stakeholders covering Public disclosure of breach.

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 Supply Chain Compromise (T1195) with high confidence (90%), with evidence including security incident involving a third-party tool, and risks of relying on third-party services. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating third-party tool compromise may have accessed authentication tokens. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating theft of customer contact information and physical addresses. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including data exfiltration such as Yes, and customer contact information and physical addresses stolen. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating breach marks another setback for the password manager and Search Victim-Owned Websites (T1594) with moderate confidence (60%), supported by evidence indicating third-party tool compromise may have involved reconnaissance. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Destruction (30%)
Search Victim-Owned Websites (60%)

Sources & References