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Security Scan Report: smoggy-amethyst-3ecmijcakf-rh9c39e03z.edgeone.app

Submitted: Apr 3, 2026, 2:19:11 AMCompleted: Apr 3, 2026, 2:20:42 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 14 HTTP transactions. The main domain is smoggy-amethyst-3ecmijcakf-rh9c39e03z.edgeone.app and was registered NaN years ago.

Submitted URL: https://smoggy-amethyst-3ecmijcakf-rh9c39e03z.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: 88%

8
Risk Score

Site impersonates BT brand on a brand‑new hosting subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation on a newly created subdomain
New domain with no established reputation
Low domain reputation (Cisco Umbrella rank > 100k)
Domain age information unavailable

Details

Page Title

Webinar Briefing — What Actually Drives Growth Beyond Attendance?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(30%)

Domain Information

The domain name 'smoggy-amethyst-3ecmijcakf-rh9c39e03z.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'smoggy-amethyst-3ecmijcakf-rh9c39e03z'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Segmentation suggests two 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://smoggy-amethyst-3ecmijcakf-rh9c39e03z.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
543 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:7,296 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business30% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
30%

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

T11705E038D6F0B5EE077940E1F0199E663EC6AD439599424377CE4B8DCBAD8C2C94A3C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:M4VrVlBXXfLUWhB1wN7Y92fEVY1C+5ilU74CdsRW:MwHBXXxsfEVY17se745RW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:820242:EwFAYguQlCYskUmniIEAAEAEKAUAYYOFFRbJEQaAx1iBSYZSAQG+gNQpY0bhIcwjSARCg2OAkCSCgNAWACoIHGKBTjGTAQIA

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:c38383dfffffffff
Perceptual Hash:bc6d39c792c330c6
Difference Hash:16171716f0864890
Wavelet Hash:80818181dfc3ffcf
Color Hash:#d28179

Other Hashes

Crop Resistant:16171716f0864890,07a9890ea2a49c01

Scan History

Scan history not available

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