Total Incidents: According to Rankiteo, McDonald's has faced 7 incidents in the past.

Incident Types: The types of cybersecurity incidents that have occurred incidents Vulnerability and Breach.

Total Financial Loss: The total financial loss from these incidents is estimated to be $0.

Detection and Response: The company detects and responds to cybersecurity incidents through containment measures with Changed default administrative credentials, Resolved IDOR vulnerability and remediation measures with Removed default credentials, Fixed IDOR vulnerability and containment measures with shutdown of recruitment website and containment measures with Pulled down the website and law enforcement notified with Yes and law enforcement notified with Yes.

Common Attack Types: The most common types of attacks the company has faced is Breach.

Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Weak Default Credentials and Unprotected Database.

Average Financial Loss: The average financial loss per incident is $0.00.

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Personal Information, Contact Information, Authentication Tokens, Chat Messages, names, addresses, emails, phone numbers, employment histories, names, addresses, email addresses, phone numbers, employment backgrounds, Credit Card Numbers, Personal Information, Contact Information, Personal data, Business contact information and Restaurant information.

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Removed default credentials, Fixed IDOR vulnerability.

Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through were Changed default administrative credentials, Resolved IDOR vulnerability, shutdown of recruitment website and Pulled down the website.

Key Lessons Learned: The key lessons learned from past incidents are The incident highlights the importance of basic security hygiene and governance around AI systems that collect or process personal data.

Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Implement proper authentication, auditability, and integration into broader risk workflows, Treat AI as a regulated asset and implement frameworks that ensure accountability.

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Reddit, and Source: Ian Carroll, and Source: Redburn Atlantic.

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Changed default administrative credentials, Resolved IDOR vulnerability.

Last Attacking Group: The attacking group in the last incident were an Employee and Hackers.

Most Recent Incident Detected: The most recent incident detected was on 2025-06-30.

Most Recent Incident Resolved: The most recent incident resolved was on 2025-07-01.

Highest Financial Loss: The highest financial loss from an incident was ['Revenue loss of $482 million per year', "Approximately 0.9% of the company's sales"].

Most Significant Data Compromised: The most significant data compromised in an incident were Names, Email Addresses, Phone Numbers, Home Addresses, Authentication Tokens, Raw Chat Messages, names, addresses, emails, phone numbers, employment histories, names, addresses, email addresses, phone numbers, employment backgrounds, 100 credit card numbers, Client names, Marital status, Address, Email, Document identification numbers, Phone numbers, Employee personal data, Business contact information and Restaurant information.

Most Significant System Affected: The most significant system affected in an incident were McHire Platform, Olivia Chatbot and hiring website.

Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Changed default administrative credentials, Resolved IDOR vulnerability, shutdown of recruitment website and Pulled down the website.

Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Names, Email Addresses, Phone Numbers, Home Addresses, Authentication Tokens, Raw Chat Messages, names, addresses, emails, phone numbers, employment histories, names, addresses, email addresses, phone numbers, employment backgrounds, 100 credit card numbers, Client names, Marital status, Address, Email, Document identification numbers, Phone numbers, Employee personal data, Business contact information and Restaurant information.

Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 64.1M.

Most Significant Lesson Learned: The most significant lesson learned from past incidents was The incident highlights the importance of basic security hygiene and governance around AI systems that collect or process personal data.

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Implement proper authentication, auditability, and integration into broader risk workflows, Treat AI as a regulated asset and implement frameworks that ensure accountability.

Most Recent Source: The most recent source of information about an incident are Reddit, Ian Carroll and Redburn Atlantic.

Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing.

Most Recent Entry Point: The most recent entry point used by an initial access broker were an Weak Default Credentials and Unprotected Database.

Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Weak Default Credentials, IDOR Vulnerability, Unprotected Database.

Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Changed default administrative credentials, Resolved IDOR vulnerability.