AT&T Breach Incident Score: Analysis & Impact (ATT1393413111325)

In this Rankiteo incident briefing, we review the AT&T breach identified under incident ID ATT1393413111325.

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 342 and after the incident was 231 with a difference of -111 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 (March & July 2024) and $177 Million Settlement", a noteworthy cybersecurity incident.

AT&T agreed to a $177 million settlement following two significant data breaches in 2024 that exposed customer information, including Social Security numbers, phone records, and other sensitive data.

The disruption is felt across the environment, and exposing Names, Addresses and Telephone Numbers, with nearly Millions (exact number undisclosed) records at risk, plus an estimated financial loss of Up to $7,500 per affected individual (settlement payout); total settlement fund: $177 million.

In response, teams activated the incident response plan, and began remediation that includes Settlement fund established for affected customers, while recovery efforts such as Compensation claims process with deadlines (Dec. 18, 2025 for claims; Jan. 15, 2026 for final approval hearing) continue, and stakeholders are being briefed through Public settlement announcement; dedicated settlement website for claims.

The case underscores how Settlement agreed; final approval hearing scheduled for Jan. 15, 2026, and recommending next steps like Customers should file claims before the Dec. 18, 2025 deadline to receive compensation, Affected individuals should monitor for identity theft and fraud due to exposed SSNs and AT&T should enhance data protection measures to prevent future breaches, with advisories going out to stakeholders covering Customers advised to submit claims by Dec. 18, 2025; opt-out or objection deadline: Nov. 18, 2025.

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 confidence (50%), supported by evidence indicating dark Web Data Leak (March 2024) — no explicit vector, but dark web leaks often originate from phishing. and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized Data Download (July 2024) — suggests abuse of legitimate credentials or insider access.. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating names, addresses, SSNs, call records, cell site IDs — structured PII/call metadata collected from AT&T systems. and Data from Information Repositories: Sharepoint or Cloud Storage (T1213.002) with moderate to high confidence (80%), supported by evidence indicating unauthorized downloads — implies bulk extraction from enterprise data repositories (e.g., cloud storage).. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration to Cloud Storage (T1048.003) with high confidence (90%), supported by evidence indicating data appeared on dark web — likely staged via cloud storage before dark web publication. and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized downloads — suggests automated exfiltration via command-and-control infrastructure.. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (5%), supported by evidence indicating no ransomware strain identified — unlikely, but included for completeness given dark web leak context. and Data Theft for Extortion (T1659) with high confidence (95%), supported by evidence indicating data exfiltration for resale and dark web leak — clear extortion/financial motivation.. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating account passcodes exposed — suggests credentials were stored insecurely and accessed.. Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (60%), supported by evidence indicating no forensic details, but lack of disclosed containment suggests potential log/trace deletion.. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.