Security Scan Report: broad-scarlet-fsgtcluc1h-uju3lcsk6k.edgeone.app

Submitted: Apr 30, 2026, 12:35:25 AMCompleted: Apr 30, 2026, 12:36:34 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is broad-scarlet-fsgtcluc1h-uju3lcsk6k.edgeone.app and was registered NaN years ago.

Submitted URL: https://broad-scarlet-fsgtcluc1h-uju3lcsk6k.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: 72%

2
Risk Score

The site shows low risk with no malicious activity, but the subdomain is newly created and unranked, so proceed cautiously.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain age unknown, treated as potentially new
Safety Factors
No credential or payment forms present
No external malicious links or IoC matches
No network IDS alerts
Content appears to be technical documentation/file listing
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

documentation technical

(70%)

Domain Information

The domain name 'broad-scarlet-fsgtcluc1h-uju3lcsk6k.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'broad-scarlet-fsgtcluc1h-uju3lcsk6k'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Tokenizing the label suggests 2 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://broad-scarlet-fsgtcluc1h-uju3lcsk6k.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:133 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
70%
government public service
34%
news media journalism
28%

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

T1106293C1EFE51ADCA41FC0585FBE7B3A3629A003E44C859CB59E0E709F45585B4BB1B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBSXh8hahUhkhQhkh6hQh1RaXQl:KrzhNK/lMHmGgdkqz28O+K+MSd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15782:cgQCCHdQjRMQOCQAAQWMgBFCoAQkjYAxF0ALBAEKiiBSQKE4CI0+wxAAbQcIIIaEASyVRQAkwORQBCpMIBImADJAOCYCAgEj

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:9c9c3c3c3c3c3c00
Perceptual Hash:da98619a68c3c767
Difference Hash:3030607060606000
Wavelet Hash:dcfcbc3c3c3c3c00
Color Hash:#b4c587

Other Hashes

Crop Resistant:3030607060606000

Scan History

Scan history not available

Unable to load historical scan data