DoorDash Breach Incident Score: Analysis & Impact (DOO4293042111925)

In this Rankiteo incident briefing, we review the DoorDash breach identified under incident ID DOO4293042111925.

The analysis begins with a detailed overview of DoorDash's information like the linkedin page: https://www.linkedin.com/company/doordash, the number of followers: 1424762, the industry type: Software Development and the number of employees: 74124 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 731 and after the incident was 692 with a difference of -39 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 DoorDash and their customers.

DoorDash recently reported "DoorDash Employee Falls Victim to Social Engineering Scam, Exposing Customer Data", a noteworthy cybersecurity incident.

A DoorDash employee fell victim to a social engineering scam, resulting in unauthorized access to some customer data.

The disruption is felt across the environment, and exposing Customer Personal Information (Non-Sensitive).

In response, and stakeholders are being briefed through Public Disclosure via Media (KELO.com).

The case underscores how Disclosed (Ongoing or Completed Status Unknown), with advisories going out to stakeholders covering Public Notification via Media (No Direct Advisory Mentioned).

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.

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 Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (85%), supported by evidence indicating social engineering scam targeting a DoorDash employee and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating unauthorized access to some customer data via compromised employee. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate to high confidence (70%), supported by evidence indicating social engineering likely led to session hijacking or credential theft. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating unauthorized access to some customer data (names, emails, delivery info). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Yes (Some Customer Data Accessed). Under the Impact tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (85%), supported by evidence indicating customer PII (names, emails) accessed via cloud-based employee account. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.