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Analyze » AT&T » ADOMETYAHATTTRAEXP1780770504

Incident Score: Analysis & Impact (ADOMETYAHATTTRAEXP1780770504)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-94
Company Score Before Incident830 / 1000
Company Score After Incident736 / 1000
Company LinkView AT&T Profile
INCIDENT NUMBERADOMETYAHATTTRAEXP1780770504
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDemail addresses, passwords, phone numbers,...
INCIDENT DATE31/12/2012
STATUSpublished

Key Highlights From The 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 Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts 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 AT&T breach identified under incident ID ADOMETYAHATTTRAEXP1780770504.

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: 1631770, the industry type: Telecommunications and the number of employees: 178894 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 830 and after the incident was 736 with a difference of -94 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 "Data Breach Checkers: Exposure and Impact Analysis", a noteworthy cybersecurity incident.

A comprehensive analysis of how data breach checkers operate, their sources of data, and the importance of proactive monitoring to detect personal information exposure in known breaches, dark web markets, and malware logs.

The disruption is felt across the environment, and exposing email addresses, passwords and phone numbers, with nearly ['73M (AT&T)', '2.9B (NPD)', '533M (Facebook)'] records at risk.

In response, and began remediation that includes Change passwords on breached accounts and any others using the same credentials, Enable multi-factor authentication (MFA) on critical accounts and Freeze credit with all three bureaus if SSNs or financial data were exposed.

The case underscores how teams are taking away lessons such as Breach notifications are slow and unreliable, with significant lag between breach occurrence and public disclosure. Proactive monitoring using tools that scan dark web markets, malware logs, and breach databases is essential for early detection of exposure. One-time checks are insufficient due to the dynamic nature of data leaks, and recommending next steps like Use breach checkers to scan for email, phone, and SSN exposure in known breaches and dark web sources, Enable multi-factor authentication (MFA) on critical accounts and Freeze credit with all three bureaus if SSNs or financial data are exposed, with advisories going out to stakeholders covering Immediate actions after exposure include changing passwords, enabling MFA, freezing credit, and continuous monitoring for future leaks.

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating high-profile breaches like AT&T (2024) and National Public Data (2024) and Compromise Accounts (T1586) with moderate to high confidence (70%), supported by evidence indicating credentials harvested by malware from infected devices. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating passwords exposed in breaches (e.g., Adobe 2013, Yahoo 2013-2014), OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating infostealer logs (credentials harvested by malware), and Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating data exfiltrated and sold on dark web markets. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating sSNs, names, addresses, phone numbers, email addresses compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating 2.9B records (NPD), 73M records (AT&T), 533M records (Facebook). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data sold on dark web markets and malware logs and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating credentials and PII appear in dark web markets. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating breaches with high identity theft risk (e.g., SSNs exposed) and Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating credit history and personal identifiers compromised. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials used for unauthorized access and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating malware logs and dark web markets evade detection. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Compromise Accounts (70%)
Credential Access
Credentials from Password Stores (80%)
OS Credential Dumping (70%)
Credentials In Files (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (40%)
Stored Data Manipulation (50%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts: Hidden Files and Directories (60%)