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AT&T Breach Incident Score: Analysis & Impact (ATT1765044347)

The Rankiteo video explains how the company AT&T has been impacted by a Breach on the date April 01, 2024.

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Incident Summary

Rankiteo Incident Impact
-68
Company Score Before Incident
429 / 1000
Company Score After Incident
361 / 1000
Company Link
Incident ID
ATT1765044347
Type of Cyber Incident
Breach
Primary Vector
Third-party compromise (Snowflake), Exploited data leak
Data Exposed
Personal data (names, SSNs, DOBs), Call and text records
First Detected by Rankiteo
April 01, 2024
Last Updated Score
June 17, 2024

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Key Highlights From This Incident Analysis

  • Timeline of AT&T'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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts AT&T Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the AT&T breach identified under incident ID ATT1765044347.

The analysis begins with a detailed overview of AT&T's information like the linkedin page: https://www.linkedin.com/company/att, the number of followers: 1591781, the industry type: Telecommunications and the number of employees: 177538 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 429 and after the incident was 361 with a difference of -68 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 AT&T and their customers.

AT&T recently reported "AT&T Data Breaches Settlement (2019 & 2024)", a noteworthy cybersecurity incident.

AT&T faced two major data breaches in 2019 and 2024, leading to a $177 million settlement.

The disruption is felt across the environment, affecting Customer database and Cloud storage (Snowflake), and exposing Personal data (names, SSNs, DOBs) and Call and text records, with nearly 51 million (2019), nearly all customers (2024) records at risk, plus an estimated financial loss of $177 million settlement.

In response, and stakeholders are being briefed through Public disclosure, settlement announcements.

The case underscores how Ongoing (settlement reached), with advisories going out to stakeholders covering Settlement payout eligibility announcements.

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 Trusted Relationship (T1199) with high confidence (90%), with evidence including third-party compromise (Snowflake), and hacker breaching AT&Tโ€™s account with cloud storage provider Snowflake. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating hacker breaching AT&Tโ€™s account with cloud storage provider Snowflake. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (90%), with evidence including data exfiltration such as Yes, and access to call and text records for nearly all customers and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating cybercriminals to exploit the data of former and existing subscribers. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating data leak in 2019 allowed cybercriminals to exploit the data and Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of encryption, but high-impact data exposure. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.