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Analyze » Feysh Tech » SHA1778084745

Incident Score: Analysis & Impact (SHA1778084745)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-3
Company Score Before Incident793 / 1000
Company Score After Incident790 / 1000
INCIDENT NUMBERSHA1778084745
Type of Cyber IncidentVulnerability
ATTACK VECTORNetwork
DATA EXPOSEDSensitive business data, session tokens,...
INCIDENT DATE11/03/2026
STATUSDisclosed

Key Highlights From The Incident Analysis

  • Timeline of Feysh Tech'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 Feysh Tech 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 Feysh Tech breach identified under incident ID SHA1778084745.

The analysis begins with a detailed overview of Feysh Tech's information like the linkedin page: https://www.linkedin.com/company/shanghai-feysh-technology-co-ltd, the number of followers: 0, the industry type: Data Security Software Products and the number of employees: 3 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 793 and after the incident was 790 with a difference of -3 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 Feysh Tech and their customers.

On 17 March 2026, Shanghai Fanwei Network Technology disclosed Remote Code Execution (RCE) issues under the banner "Critical Remote Code Execution Flaw Discovered in Fanwei E-cology10 Enterprise Platform".

A severe security vulnerability (QVD-2026-14149) has been identified in Fanwei E-cology10 (E10), a widely used enterprise collaboration platform developed by Shanghai Fanwei Network Technology.

The disruption is felt across the environment, affecting Fanwei E-cology10 servers, and exposing Sensitive business data, session tokens, internal workflows.

In response, moved swiftly to contain the threat with measures like Apply official patch (v20260312 or later), and began remediation that includes Update to security patch version v20260312 or later, and stakeholders are being briefed through Vendor advisory urging immediate patching.

The case underscores how Disclosed, and recommending next steps like Apply the official patch (v20260312 or later) immediately, monitor server logs for exploitation attempts, and update detection rules, with advisories going out to stakeholders covering Vendor advisory urging immediate patching.

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 (95%), supported by evidence indicating critical Remote Code Execution Flaw...enables unauthenticated remote code execution (RCE). Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), supported by evidence indicating command injection weakness in a specific E-cology10 server interface and Exploitation for Client Execution (T1203) with moderate to high confidence (85%), supported by evidence indicating arbitrary command execution with elevated privileges. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating execute arbitrary commands with elevated privileges. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (85%), supported by evidence indicating compromising sensitive business data, session tokens. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (75%), supported by evidence indicating persistent access to corporate environments while evading detection. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating elevated privileges...evading detection. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating sensitive business data, internal workflows. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potentially compromising sensitive business data. 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 (95%)
Execution
Command and Scripting Interpreter (90%)
Exploitation for Client Execution (85%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Credential Access
Steal Application Access Token (85%)
Persistence
External Remote Services (75%)
Defense Evasion
Valid Accounts (70%)
Collection
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)