Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » UStrive » UST1769009192

Incident Score: Analysis & Impact (UST1769009192)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-105
Company Score Before Incident769 / 1000
Company Score After Incident664 / 1000
INCIDENT NUMBERUST1769009192
Type of Cyber IncidentBreach
ATTACK VECTORAPI Misconfiguration
DATA EXPOSEDFull names, email addresses, phone...
INCIDENT DATE20/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of UStrive'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 UStrive 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 UStrive breach identified under incident ID UST1769009192.

The analysis begins with a detailed overview of UStrive's information like the linkedin page: https://www.linkedin.com/company/ustrive, the number of followers: 493, the industry type: E-Learning Providers and the number of employees: 18 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 769 and after the incident was 664 with a difference of -105 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 UStrive and their customers.

UStrive recently reported "UStrive Data Leak Exposes Sensitive Information of 238,000 Users, Including Minors", a noteworthy cybersecurity incident.

A security researcher discovered a critical flaw in UStrive, a U.S.-based online mentoring platform, that exposed the personal data of approximately 238,000 users.

The disruption is felt across the environment, affecting Amazon-hosted GraphQL API, and exposing Full names, email addresses, phone numbers, and other user-provided details, with nearly 238,000 records at risk.

In response, moved swiftly to contain the threat with measures like Vulnerability remedied.

The case underscores how teams are taking away lessons such as Highlights the risks of database misconfigurations in cloud environments, which remain a leading cause of data breaches.

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 vulnerability, found in the company’s Amazon-hosted GraphQL API. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials in Cloud Storage (T1552.006) with moderate to high confidence (70%), supported by evidence indicating database misconfigurations in cloud environments. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating exposed the personal data of approximately 238,000 users and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating full names, email addresses, phone numbers, and other user-provided details. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating unauthorized access to sensitive information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating amazon-hosted GraphQL API misconfiguration. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on whether malicious actors accessed it and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating possible legal consequences for affected organizations. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating vulnerability had been remedied but no further details. 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%)
Credential Access
Unsecured Credentials: Credentials in Cloud Storage (70%)
Collection
Data from Information Repositories (90%)
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (50%)

Sources & References