Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Ascent Global Logistics » ASC1787697377

Incident Score: Analysis & Impact (ASC1787697377)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-52
Company Score Before Incident754 / 1000
Company Score After Incident702 / 1000
INCIDENT NUMBERASC1787697377
Type of Cyber IncidentBreach
ATTACK VECTORThird-party account compromise
DATA EXPOSEDSocial Security numbers, medical records,...
INCIDENT DATE07/05/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Ascent Global Logistics'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 Ascent Global Logistics 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 Ascent Global Logistics breach identified under incident ID ASC1787697377.

The analysis begins with a detailed overview of Ascent Global Logistics's information like the linkedin page: https://www.linkedin.com/company/ascent_global_logistics, the number of followers: 20646, the industry type: Transportation, Logistics, Supply Chain and Storage and the number of employees: 720 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 754 and after the incident was 702 with a difference of -52 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 Ascent Global Logistics and their customers.

On 21 August 2026, Ascent Global Logistics disclosed Data Breach issues under the banner "Ascent Global Logistics Suffers Data Breach Exposing Sensitive Personal Information".

On May 22, 2026, Michigan-based shipping and logistics firm Ascent Global Logistics detected suspicious activity in an employee’s Microsoft account, prompting an investigation with cybersecurity experts.

The disruption is felt across the environment, affecting Microsoft account, and exposing Social Security numbers, medical records, financial account details, driver’s license numbers, credit/debit card information, names.

In response, and stakeholders are being briefed through Notifying impacted individuals.

The case underscores how Ongoing, with advisories going out to stakeholders covering Notifying impacted individuals.

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: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating detected suspicious activity in an employee’s Microsoft account. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating unauthorized third party accessed and downloaded files from a user account and Brute Force: Password Guessing (T1110.001) with moderate confidence (50%), supported by evidence indicating no details on attacker’s identity or motives disclosed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating files downloaded...compromising sensitive data (SSNs, medical records, etc.). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating unauthorized third party...downloaded files from a user account and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating accessed and downloaded files from a Microsoft account. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on attacker’s identity or motives disclosed and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential class action lawsuits on behalf of those affected. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts: Cloud Accounts (90%)
Credential Access
Steal Application Access Token (80%)
Brute Force: Password Guessing (50%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (70%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References