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Security Scan Report: little-amber-1rw0wbstdl-g4l0ij4m97.edgeone.app

Submitted: Nov 27, 2025, 6:52:34 AMCompleted: Nov 27, 2025, 6:55:29 AMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 4 domains to perform 6 HTTP transactions. The main domain is little-amber-1rw0wbstdl-g4l0ij4m97.edgeone.app.

Submitted URL: https://little-amber-1rw0wbstdl-g4l0ij4m97.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site mimics Red Bull branding on a suspicious, low‑rank domain – high risk of phishing.

Risk Factors
Brand impersonation (Red Bull) on a low‑ranking, newly created domain
Domain does not belong to the official Red Bull brand
Low Cisco Umbrella ranking for a site presenting Red Bull content
Domain age information unavailable

Details

Page Title

Tafel Race - Red Bull F1 Editie

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

documentation technical

(73%)

Domain Information

The domain name 'little-amber-1rw0wbstdl-g4l0ij4m97.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'little-amber-1rw0wbstdl-g4l0ij4m97'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://little-amber-1rw0wbstdl-g4l0ij4m97.edgeone.app/

Page Load Overview

0.37s
Total Load Time
6
HTTP Requests
4
Domains
24 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:nl
Text Length:888 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical73% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
73%
gambling betting
69%
adult content
59%
government public service
56%
education learning
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1142.250.181.234United States
AS15169GOOGLE
1104.26.2.143United States
AS13335CLOUDFLARENET
1142.250.184.227United States
AS15169GOOGLE
0104.26.3.143United States
AS13335CLOUDFLARENET
02a00:1450:4001:829::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02606:4700:20::681a:28fUnited States
AS13335CLOUDFLARENET
02a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02606:4700:20::681a:38fUnited States
AS13335CLOUDFLARENET
0172.67.68.11United States
AS13335CLOUDFLARENET
611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F03C80921F31427C85390BAABC3750DB630E0536B2ADD7C7E0EDA419F864B5A5E77CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tDVFX1hnrJHuruD64aw8QE94C8lz3/659biJ:zB1hrJOCDo2C8lz3/6LmJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38122:BAcZggIILCCKMBNClNF9gwpThKIDJFMCCySDCRUQZwCGRiUKcDM6EREYdJwAMARgEHgqIEANw0sKMhUBcVhAFmOqhDCHvgYR

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:0018183c3c3c1800
Perceptual Hash:cd212496e6c9db3c
Difference Hash:0c3270696971320c
Wavelet Hash:00183c3c3c3c1800
Color Hash:#6ccae0

Other Hashes

Crop Resistant:0c3270696971320c

Scan History

Scan history not available

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