Security Scan Report: mustquality-mll4nzmx4r.edgeone.app

Submitted: Apr 6, 2026, 8:08:44 AMCompleted: Apr 6, 2026, 8:09:55 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is mustquality-mll4nzmx4r.edgeone.app and was registered NaN years ago.

Submitted URL: https://mustquality-mll4nzmx4r.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site mimics a MUST university login page and likely harvests credentials; treat as phishing and do not enter any data.

Risk Factors
Brand impersonation of a university on a non‑official domain
Suspected credential‑harvesting login fields (username/password)
New/unknown subdomain on a free hosting platform (edgeone.app)
Low domain ranking (455,732) and lack of established reputation
Domain age information unavailable

Details

Page Title

Quality Assurance Reports | MUST - Misr University for Science & Technology

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(35%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mustquality-mll4nzmx4r.edgeone.app' is registered, featuring subdomain 'mustquality-mll4nzmx4r'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mustquality-mll4nzmx4r.edgeone.app/

Page Load Overview

2.14s
Total Load Time
8
HTTP Requests
4
Domains
546 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,832 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service35% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
35%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2142.251.127.94United States
AS15169Google LLC
2104.17.24.14United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
84--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A94E072BAE21021356760E4266777AA7DB4D403E246CE64B9DC5398CFC7BD2C62378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:mi6486WhQ2oy1JLoYV+uIMBftTX/DuAR9G00VqqhyN9r1Zk:S486W+Zi1oduIMBfQARYL01fZk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:409540:B16WW2oLEIhgAtJAiAtBQhMgeMkkGghAQATCUgaZAAoqqUNIyEnqQghNAXsKCVATslQEM6kg0Ca8CLfAFCgggTQGgYgFg4Qm

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:0018181818181800
Perceptual Hash:d98c667233cccc99
Difference Hash:0c32b2b2b2b2324c
Wavelet Hash:f8f8f8f8d8d89880
Color Hash:#53ac99

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data