Security Scan Report: correct-white-ugwfyuuydz-5s4x4s80mr.edgeone.app

Submitted: Mar 21, 2026, 3:05:06 PMCompleted: Mar 21, 2026, 3:06:23 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 9 HTTP transactions. The main domain is correct-white-ugwfyuuydz-5s4x4s80mr.edgeone.app and was registered NaN years ago.

Submitted URL: https://correct-white-ugwfyuuydz-5s4x4s80mr.edgeone.app/

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
Hosted on edgeone.app (known hosting platform)
Served over HTTPS
Only external resources are Google Fonts (fonts.googleapis.com, fonts.gstatic.com)
No redirects or URL manipulation detected
No credential exfiltration or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Deliverzen — Inbound Schedule

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

Domain 'correct-white-ugwfyuuydz-5s4x4s80mr.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'correct-white-ugwfyuuydz-5s4x4s80mr'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://correct-white-ugwfyuuydz-5s4x4s80mr.edgeone.app/

Page Load Overview

0.74s
Total Load Time
8
HTTP Requests
3
Domains
153 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:1,533 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service58% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
58%
e-commerce shopping
45%
cryptocurrency blockchain
43%
documentation technical
41%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.141.106United States
2142.251.141.67United States
243.152.26.58Singapore
83--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15833297661E095363467C4EE66868B8B3E50B013FC0B9258F6DC7A904FCFCA1C6279B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/1qbta1ze7/LBncBFCoSoOvLcA9a1ze7/LBncBFCoSoOvQFbGre821:otaZe7/LdoSoIjaZe7/LdoSoI8b60

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55121:AQAwAItCc2iIRDGjxEsgHlCFkAgQBtIGJbWESLBZABBVyMWAgFUoMCAQIVgMKCYwAIwAhEIJ4UIKGBgTheYQEJlgBgmHQDyF

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:ffefc3c3ffffffff
Perceptual Hash:b131dbce666464cc
Difference Hash:969a969660303038
Wavelet Hash:000000003d3d3d3d
Color Hash:#78553a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data