Security Scan Report: few-yellow-s9t4ngrnvt-rmsb9jp1hc.edgeone.app

Submitted: Feb 27, 2026, 11:41:26 AMCompleted: Feb 27, 2026, 11:42:34 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 few-yellow-s9t4ngrnvt-rmsb9jp1hc.edgeone.app and was registered NaN years ago.

Submitted URL: https://few-yellow-s9t4ngrnvt-rmsb9jp1hc.edgeone.app/bifrost_landing_v6.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No suspicious indicators detected; the site appears benign.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No brand impersonation observed
Hosted on a reputable free‑hosting platform without malicious activity
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 'few-yellow-s9t4ngrnvt-rmsb9jp1hc.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'few-yellow-s9t4ngrnvt-rmsb9jp1hc'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://few-yellow-s9t4ngrnvt-rmsb9jp1hc.edgeone.app/bifrost_landing_v6.html

Page Load Overview

0.99s
Total Load Time
2
HTTP Requests
1
Domains
19 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
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:#d2932d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data