Security Scan Report: occupations-cwi4duxetq.edgeone.app

Submitted: Feb 7, 2026, 8:22:36 AMCompleted: Feb 7, 2026, 8:23:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is occupations-cwi4duxetq.edgeone.app and was registered NaN years ago.

Submitted URL: https://occupations-cwi4duxetq.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: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain (>2 years old)
Low Cisco Umbrella ranking but no malicious activity
No external links or redirects
No login or payment forms
Domain age information unavailable

Details

Page Title

occupations-cwi4duxetq.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'occupations-cwi4duxetq.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'occupations-cwi4duxetq'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into 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://occupations-cwi4duxetq.edgeone.app/

Page Load Overview

2.67s
Total Load Time
2
HTTP Requests
1
Domains
6 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:293 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Oldi:HhoC9JSqzzbs6o3Sj3gcrsa2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184561:DJBHhBx8q6VZUaoKkEMC+BRQKBciBCSIjRKgkAyNKMEIJ+4QGAgUEUhIglM8B0CNyBCIjBYIATkAi0U54BYDs6IQFRDHCJEp

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc672363
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#931f84

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data