Security Scan Report: occupational-sapphire-iaa1u3gnbo-ynt4bgntd1.edgeone.app

Submitted: Mar 18, 2026, 6:37:12 PMCompleted: Mar 18, 2026, 6:38:22 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is occupational-sapphire-iaa1u3gnbo-ynt4bgntd1.edgeone.app and was registered NaN years ago.

Submitted URL: https://occupational-sapphire-iaa1u3gnbo-ynt4bgntd1.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
No forms or payment fields present
No credential exfiltration observed
Hosted on a standard platform (edgeone.app) with no suspicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'occupational-sapphire-iaa1u3gnbo-ynt4bgntd1.edgeone.app' is registered; it also runs on subdomain 'occupational-sapphire-iaa1u3gnbo-ynt4bgntd1'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://occupational-sapphire-iaa1u3gnbo-ynt4bgntd1.edgeone.app/

Page Load Overview

0.69s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:903 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical71% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
71%
healthcare medical
53%
news media journalism
53%
adult content
51%
technology software
49%

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

T162233281EFF42FDCA01F86198B7E7B3B7A246043A49D018C74AD0DB2AF45949E4FB465

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+3WSCG2qaWWCGWiWi26m6miIuOiyWGCSeem222WWUuYusd:wNIq3WSCG2qaWWCGWiWi26m6miIuOiyW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47864:QACDgAQGCFWkuKS0CC+oECKCCZEmAYxhHYAGAA5KCCAETYEaCoA0WGUiAJIGJcQC3BZKDHkmIYCQhgeLKBAoSHVBOTVQRBVU

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:1c1c1c1c1c1c1c1c
Perceptual Hash:da74743828aac3e7
Difference Hash:3030303171703170
Wavelet Hash:dcfcbc3c1c1c1c1c
Color Hash:#ac5399

Other Hashes

Crop Resistant:3030303171703170

Scan History

Scan history not available

Unable to load historical scan data