Ericsson Breach Incident Score: Analysis & Impact (ERI1773145444)

In this Rankiteo incident briefing, we review the Ericsson breach identified under incident ID ERI1773145444.

The analysis begins with a detailed overview of Ericsson's information like the linkedin page: https://www.linkedin.com/company/ericsson, the number of followers: 2260541, the industry type: Telecommunications and the number of employees: 107243 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 761 and after the incident was 653 with a difference of -108 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 Ericsson and their customers.

On 28 April 2025, Ericsson disclosed Data Breach issues under the banner "Ericsson Data Breach Exposes Personal Information of Over 15,000 Individuals in Vishing Attack".

In April 2025, a voice-phishing (vishing) scam targeted an unnamed third-party vendor supporting Ericsson’s U.S.

The disruption is felt across the environment, and exposing Sensitive personal and financial information, with nearly 15,661 records at risk.

In response, moved swiftly to contain the threat with measures like Password resets, and began remediation that includes Additional security measures and staff training, and stakeholders are being briefed through Notification to affected individuals, credit monitoring offered.

The case underscores how Completed, teams are taking away lessons such as The breach underscores the risks of social engineering attacks, where human error—not technical vulnerabilities—can serve as the primary entry point for cybercriminals, and recommending next steps like Implement additional security measures and staff training to prevent future incidents, with advisories going out to stakeholders covering 12 months of credit monitoring offered to affected individuals.

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: Vishing (T1566.004) with high confidence (95%), with evidence including voice-phishing (vishing) scam targeted an unnamed third-party vendor, and attackers manipulated an employee into granting unauthorized access. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate to high confidence (70%), supported by evidence indicating attackers manipulated an employee into granting unauthorized access and Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating employee into granting unauthorized access between April 17 and April 22. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposed data included names, Social Security numbers, driver’s license details, financial information, medical records. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including sensitive personal data belonging to 15,661 individuals, and data breach impacting 15,661 individuals. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (60%), supported by evidence indicating no misuse of the stolen data has been confirmed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.