Security Scan Report: edgeone-mcp-pusher-z4evs9cndx.edgeone.app

Redirected to: https://edgeone-mcp-pusher-z4evs9cndx.edgeone.app/admin/login

Submitted: Mar 24, 2026, 12:35:04 PMCompleted: Mar 24, 2026, 12:37:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 17 HTTP transactions. The main domain is edgeone-mcp-pusher-z4evs9cndx.edgeone.app and was registered NaN years ago.

Submitted URL: https://edgeone-mcp-pusher-z4evs9cndx.edgeone.app/

Effective URL: https://edgeone-mcp-pusher-z4evs9cndx.edgeone.app/admin/loginRedirected

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection elements
No brand impersonation or trademark misuse
Hosted on a known platform (edgeone.app) with no suspicious redirects
Absence of network IDS alerts or known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

EdgeOne MCP Pusher

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

technology software

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'edgeone-mcp-pusher-z4evs9cndx.edgeone.app' is registered and includes subdomain 'edgeone-mcp-pusher-z4evs9cndx'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edgeone-mcp-pusher-z4evs9cndx.edgeone.app/

Page Load Overview

0.44s
Total Load Time
17
HTTP Requests
1
Domains
694 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:784 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
56%
healthcare medical
48%
government public service
45%
cryptocurrency blockchain
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1743.152.26.58Singapore
171--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB42B6B0206465BFA6170FE9B562B33A61A7D21FD903D45463FD03A21BC7DE2DC63A84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+QH2UIlRLvquaV2xuKnImUfEIwIwIlzDt6OX7L/HXD:1lIlFvlxuKnImU8IwalfHv/z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12011:EQwTNAAlAA2A8AwYLYBJIIyG1IBCgHQcNsA7EDUECYAtgCqBAJE4mBEOBaQ0akACKgLClnIbxANQhigASgAYAUUcEIoAk0AY

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:3e3e786060787870
Perceptual Hash:c11f9c94366b4b4b
Difference Hash:70f2d3c9c8c2d2e2
Wavelet Hash:3e7e786068787878
Color Hash:#1f933e

Other Hashes

Crop Resistant:70f2d3c9c8c2d2e2

Scan History

Scan history not available

Unable to load historical scan data