Security Scan Report: familiar-blue-6e68haeccp-q4yhfgne3p.edgeone.app

Submitted: Apr 30, 2026, 3:57:43 PMCompleted: Apr 30, 2026, 3:58:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is familiar-blue-6e68haeccp-q4yhfgne3p.edgeone.app and was registered NaN years ago.

Submitted URL: https://familiar-blue-6e68haeccp-q4yhfgne3p.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

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
Subdomain could have been created very recently
Safety Factors
No forms or credential collection
No malicious JavaScript or obfuscation
No external malicious links or redirects
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(86%)

Domain Information

Within the application-focused generic top-level domain (.app), 'familiar-blue-6e68haeccp-q4yhfgne3p.edgeone.app' is registered and includes subdomain 'familiar-blue-6e68haeccp-q4yhfgne3p'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Breaking it apart gives 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://familiar-blue-6e68haeccp-q4yhfgne3p.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
3 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:118 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
80%
cryptocurrency blockchain
55%
government public service
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

T1F552B4C5EFE61ACCB41FC0585FBF672A2629A003E44DCA8C759E0E709F45585B0BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBRh2h+h0hhMhKhARh1RaXQl:KrzhNK/lMHmGgdkqKQ4WPMMeRd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13992:YQdSHXBABRORtBQFIQGiwAECIsokCQRhV4ANhBBDiGQwAKkMAIE0wxBRzRUAJMbQASqUxQAkQMheBJrgKAomKi+AOiYCBNED

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:dcfcbcbc3c3c0000
Perceptual Hash:da9a65389861c7c7
Difference Hash:3030707060600000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#d0d22d

Other Hashes

Crop Resistant:3030707060600000

Scan History

Scan history not available

Unable to load historical scan data