Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Verizon » VER1779243969

Incident Score: Analysis & Impact (VER1779243969)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-240
Company Score Before Incident724 / 1000
Company Score After Incident484 / 1000
Company LinkView Verizon Profile
INCIDENT NUMBERVER1779243969
Type of Cyber IncidentVulnerability
ATTACK VECTORvulnerability_exploitation, credential_abuse, social_engineering, AI-assisted_attacks
DATA EXPOSED22,000 confirmed breaches
INCIDENT DATE31/12/2024
STATUSCompleted (report published)

Key Highlights From The Incident Analysis

  • Timeline of Verizon's Vulnerability 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 Verizon 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 Verizon breach identified under incident ID VER1779243969.

The analysis begins with a detailed overview of Verizon's information like the linkedin page: https://www.linkedin.com/company/verizon, the number of followers: 1455266, the industry type: IT Services and IT Consulting and the number of employees: 101542 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 724 and after the incident was 484 with a difference of -240 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 Verizon and their customers.

A newly reported cybersecurity incident, "Verizon’s 2026 DBIR: Vulnerability Exploitation Dominates Data Breaches as AI Accelerates Attacks", has drawn attention.

Verizon’s latest Data Breach Investigations Report (DBIR) reveals a sharp rise in cyber threats, with 31,000 security incidents analyzed in 2025 over 22,000 confirmed breaches, nearly double the previous year’s total.

The disruption is felt across the environment, and exposing 22,000 confirmed breaches.

In response, and began remediation that includes Patching critical vulnerabilities (median time: 43 days).

The case underscores how Completed (report published), teams are taking away lessons such as Unpatched vulnerabilities and slow patching times (median 43 days) are major contributors to breaches. AI is accelerating attack timelines, and third-party risks are increasing. Human error and social engineering remain significant weaknesses, and recommending next steps like Prioritize patching critical vulnerabilities, especially those in CISA’s KEV catalog, Improve third-party risk management, particularly for cloud providers and MFA configurations and Enhance monitoring and response capabilities to counter AI-driven attacks.

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 high confidence (90%), supported by evidence indicating unpatched vulnerabilities as the leading attack vector, responsible for 31% of breaches, Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating credential abuse (13%), which previously topped the list, and Phishing (T1566) with moderate confidence (60%), supported by evidence indicating social engineering accounted for 16% of incidents. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating unpatched vulnerabilities as the leading attack vector and Command and Scripting Interpreter (T1059) with moderate confidence (50%), supported by evidence indicating aI-assisted attacks (15 documented techniques on average). Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating third-party risks surged, contributing to 48% of breaches. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating unpatched vulnerabilities (31% of breaches). Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1070) with moderate confidence (50%), supported by evidence indicating aI-assisted attacks (15+ techniques used on average) and Impair Defenses (T1562) with moderate confidence (60%), supported by evidence indicating slow patching times (median 43 days). Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating credential abuse (13% of breaches) and Adversary-in-the-Middle (T1557) with moderate confidence (50%), supported by evidence indicating third-party risks (48% of breaches). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating aI-assisted attacks (15+ techniques used on average). Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating third-party risks (48% of breaches). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 22,000 confirmed breaches. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 22,000 confirmed breaches. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (80%), supported by evidence indicating ransomware involved in 48% of breaches and Inhibit System Recovery (T1490) with moderate confidence (60%), supported by evidence indicating ransomware remained a dominant threat. 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 (90%)
Valid Accounts (70%)
Phishing (60%)
Execution
Exploitation for Client Execution (80%)
Command and Scripting Interpreter (50%)
Persistence
External Remote Services (60%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Indicator Removal (50%)
Impair Defenses (60%)
Credential Access
Brute Force (70%)
Adversary-in-the-Middle (50%)
Discovery
Account Discovery (60%)
Lateral Movement
Exploitation of Remote Services (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Encrypted for Impact (80%)
Inhibit System Recovery (60%)

Sources & References