Security Scan Report: nasty-sapphire-zmpntqmzdm-fucbfwgd6i.edgeone.app

Submitted: Mar 11, 2026, 8:28:23 PMCompleted: Mar 11, 2026, 8:29:59 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 4 HTTP transactions. The main domain is nasty-sapphire-zmpntqmzdm-fucbfwgd6i.edgeone.app and was registered NaN years ago.

Submitted URL: https://nasty-sapphire-zmpntqmzdm-fucbfwgd6i.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: 78%

2
Risk Score

Low risk; no malicious activity detected on this newly created subdomain.

Risk Factors
New subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) indicating low reputation
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No YARA JavaScript malware detections
No network IDS alerts
Page does not render any content
Domain age information unavailable

Details

Page Title

PWA AI • Describe & Build

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'nasty-sapphire-zmpntqmzdm-fucbfwgd6i.edgeone.app' is registered; it also runs on subdomain 'nasty-sapphire-zmpntqmzdm-fucbfwgd6i'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. It segments into 2 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://nasty-sapphire-zmpntqmzdm-fucbfwgd6i.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:840 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
41%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.17.24.14Singapore
0172.67.68.11Singapore
0142.251.127.94Singapore
0142.251.143.106Singapore
0172.67.74.163Singapore
043.152.26.58Singapore
0146.75.121.91Singapore
17--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10023E92A31B304760DA384FBF7977A48B5265247DE06C595BA9C43809FD3E929DE338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:MT1T+hnz6MJ+WbQlv0gaREierjfv7JieOi638W:W+hz6Vvli1F3v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50112:iYGIpxQSJiIKhgGFVhBwUEQgYRIx1YNxCbECJhI0AkBgOzqgSJsQAaAIEAARYAFCTjKKamgUtAIDERsZIUbEFAkDioww4ICo

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:939999b9bd9d8181
Perceptual Hash:9bcc6493b3662393
Difference Hash:37333363796b2723
Wavelet Hash:db9981b9bdb98181
Color Hash:#934e1f

Other Hashes

Scan History

Scan history not available

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