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Security Scan Report: great-copper-wagtweypoi-pzhood3dwn.edgeone.app

Submitted: Feb 26, 2026, 10:34:36 PMCompleted: Feb 26, 2026, 10:35:45 PMpubliccompleted
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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 great-copper-wagtweypoi-pzhood3dwn.edgeone.app and was registered NaN years ago.

Submitted URL: https://great-copper-wagtweypoi-pzhood3dwn.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%

3
Risk Score

Site shows no malicious activity but is a newly created subdomain on a free hosting platform; treat cautiously.

Risk Factors
New/unknown subdomain on a free hosting platform
Unranked domain (low reputation) presenting a brand name (BIFRÖST) without verification
Safety Factors
No credential or payment collection forms
No malicious JavaScript or YARA detections
No network IDS alerts
HTTPS connection (implied by edgeone.app)
Domain age information unavailable

Details

Page Title

BIFRÖST — Clarifier · Explorer · Intégrer

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

healthcare medical

(98%)

Domain Information

The domain 'great-copper-wagtweypoi-pzhood3dwn.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'great-copper-wagtweypoi-pzhood3dwn'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Tokenizing the label suggests 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://great-copper-wagtweypoi-pzhood3dwn.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
23 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:27,890 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical98% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
98%
education learning
96%
adult content
83%
government public service
80%
blog personal website
77%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A73A6A1F1F0013740B391D9E599632B7460F717C695A2807BBD82726BC7CB2BA2768C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zlDmRa4PW9X7npaIi0JWdA/CGfGlq9HxmlOBmSmXL1:zlDmRaTzpap0JbFQL1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76774:YDk9AARnAAORiCKEdAwOEIVDQAi5kAEBFgGd4OIKWhEIFRApVJAEQBCKxLJAVkcIAZogSYyEEIUCWAAI5qCGAhFTALgwHGBK

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:00ffffe7efffffe7
Perceptual Hash:b24d5c4d325d5c4d
Difference Hash:2009204d0c28308c
Wavelet Hash:00d3e5c5c7e700c7
Color Hash:#ac5381

Other Hashes

Crop Resistant:2009204d0c28308c,01010d31310d0101

Scan History

Scan history not available

Unable to load historical scan data