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Analyze » HACEMOS at AT&T » HAC1764605702

Incident Score: Analysis & Impact (HAC1764605702)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-188
Company Score Before Incident596 / 1000
Company Score After Incident408 / 1000
Company LinkView HACEMOS at AT&T Profile
INCIDENT NUMBERHAC1764605702
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal information of customers (2024...
INCIDENT DATE31/12/2023
STATUSResolved (settlement reached)

Key Highlights From The Incident Analysis

  • Timeline of HACEMOS at 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 Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts HACEMOS at AT&T Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the HACEMOS at AT&T breach identified under incident ID HAC1764605702.

The analysis begins with a detailed overview of HACEMOS at AT&T's information like the linkedin page: https://www.linkedin.com/company/hacemosatatt, the number of followers: 2127, the industry type: Fundraising and the number of employees: 15 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 596 and after the incident was 408 with a difference of -188 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 HACEMOS at AT&T and their customers.

AT&T recently reported "AT&T Data Breach Settlement 2025", a noteworthy cybersecurity incident.

After a series of customer data exposures over the span of the past few years, AT&T faced a major class action lawsuit due to repeated breaches.

The disruption is felt across the environment, and exposing Personal information of customers (2024 breaches), plus an estimated financial loss of $177 million (settlement fund).

In response, and stakeholders are being briefed through Public statements emphasizing commitment to data protection; settlement notifications to affected customers.

The case underscores how Resolved (settlement reached), with advisories going out to stakeholders covering Customers notified via settlement administration (Kroll); public statements issued by AT&T.

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.

MITRE ATT&CK® Correlation Analysis

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating series of customer data exposures over the span of the past few years (repeated breaches imply credential misuse or account compromise). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (85%), with evidence including personal information of customers (2024 breaches) compromised, and personally identifiable information leaked. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Yes (leaked personal data) and Automated Exfiltration (T1020) with moderate to high confidence (75%), supported by evidence indicating series of customer data exposures suggests systematic exfiltration. Under the Impact tactic, the analysis identified Spearphishing Service: Credential Harvesting (T1598.003) with moderate confidence (65%), supported by evidence indicating repeated breaches may imply phishing as initial vector (common in PII-focused breaches) and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no specific technical measures disclosed (lack of clarity on data integrity post-breach). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (50%), supported by evidence indicating no root causes or technical details disclosed (possible log tampering or evidence removal). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating repeated breaches suggest poor credential hygiene or storage vulnerabilities. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References