PcComponentes Breach Incident Score: Analysis & Impact (PCC1769088339)

In this Rankiteo incident briefing, we review the PcComponentes breach identified under incident ID PCC1769088339.

The analysis begins with a detailed overview of PcComponentes's information like the linkedin page: https://www.linkedin.com/company/pccomponentes, the number of followers: 46732, the industry type: Computers and Electronics Manufacturing and the number of employees: 651 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 730 and after the incident was 628 with a difference of -102 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 PcComponentes and their customers.

PcComponentes recently reported "PcComponentes Credential Stuffing Attack", a noteworthy cybersecurity incident.

Spanish electronics retailer PcComponentes denied a large-scale data breach after a hacker claimed the theft of 16.3 million customer records.

The disruption is felt across the environment, and exposing Names, postal addresses, IP addresses, phone numbers, product wishlists, Zendesk customer support messages, with nearly 500,000 (sample); 16.3 million claimed (disputed) records at risk.

In response, moved swiftly to contain the threat with measures like Mandatory CAPTCHA verification, two-factor authentication (2FA) for all future logins, and stakeholders are being briefed through Public statement denying large-scale breach, confirming limited credential stuffing attack.

The case underscores how and recommending next steps like Implement CAPTCHA and 2FA to prevent credential stuffing attacks, with advisories going out to stakeholders covering Public statement denying large-scale breach, confirming limited credential stuffing attack.

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 Brute Force: Credential Stuffing (T1110.004) with high confidence (95%), supported by evidence indicating credential stuffing attack where attackers used leaked login credentials. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (80%), supported by evidence indicating leaked login credentials from other breaches to gain access. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating product wishlists, and Zendesk customer support messages exposed and Data from Local System (T1005) with moderate confidence (60%), supported by evidence indicating names, postal addresses, IP addresses, phone numbers compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating dataset purportedly containing 16.3M records offered on underground forum. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating mandatory CAPTCHA and 2FA implemented post-incident to prevent future attacks. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating public statement denying large-scale breach to mitigate reputational impact. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.