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Analyze » Alcon » NIKALC1783600235

Incident Score: Analysis & Impact (NIKALC1783600235)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-67
Company Score Before Incident791 / 1000
Company Score After Incident724 / 1000
Company LinkView Alcon Profile
INCIDENT NUMBERNIKALC1783600235
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDCustomer records, order records, user...
INCIDENT DATE31/05/2026
STATUSUnverified

Key Highlights From The Incident Analysis

  • Timeline of Alcon'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 Alcon 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 Alcon breach identified under incident ID NIKALC1783600235.

The analysis begins with a detailed overview of Alcon's information like the linkedin page: https://www.linkedin.com/company/alcon, the number of followers: 775734, the industry type: Medical Equipment Manufacturing and the number of employees: 27040 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 791 and after the incident was 724 with a difference of -67 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 Alcon and their customers.

Nike recently reported "Threat Actor 'Nocturne' Claims Data Breaches at Nike and Alcon", a noteworthy cybersecurity incident.

A threat actor using the alias *Nocturne* has posted a dark web listing alleging the exfiltration of customer data from Nike and confidential records from ophthalmology and medical device company Alcon.

The disruption is felt across the environment, and exposing Customer records, order records, user sign-up details, Salesforce supplier data, internal conversation logs, order numbers, source code, with nearly Millions (eight-figure range for Nike) records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Unverified.

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 moderate confidence (50%), supported by evidence indicating previous incident reportedly involved insider access rather than customer records and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating alleged breach involving customer records and internal systems. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating salesforce supplier data, internal conversation logs, and source code allegedly exfiltrated and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating user sign-up details for Alcon’s MARLO platform compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 40GB+ dataset including customer registrations, order records, and CSV files and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating salesforce supplier data and internal conversation logs allegedly stolen. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 40GB+ dataset allegedly exfiltrated and posted on dark web and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating threat actor posted data on dark web forum for public access. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating alleged breach with no confirmation; potential data integrity risks and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating source code and internal files allegedly compromised. 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 (50%)
Exploit Public-Facing Application (40%)
Credential Access
Unsecured Credentials: Credentials In Files (60%)
Credentials from Password Stores (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References