Security Scan Report: economic-harlequin-dvrmhteybv-pd9n3zfi7f.edgeone.app

Submitted: Jan 8, 2026, 10:47:08 AMCompleted: Jan 8, 2026, 10:48:26 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is economic-harlequin-dvrmhteybv-pd9n3zfi7f.edgeone.app and was registered NaN years ago.

Submitted URL: https://economic-harlequin-dvrmhteybv-pd9n3zfi7f.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: 82%

7
Risk Score

Site impersonates BT brand on a low‑ranked domain; high‑risk phishing despite lack of forms.

Risk Factors
Brand impersonation / typosquatting of BT on a non‑official domain
Low Cisco Umbrella ranking for a site claiming a well‑known brand
Domain age information unavailable

Details

Page Title

BT EMPIRE MODS

Scan Type

public

Language

🇩🇪

German

(29% confidence)

Category

social media network

(96%)

Domain Information

You're looking at domain 'economic-harlequin-dvrmhteybv-pd9n3zfi7f.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'economic-harlequin-dvrmhteybv-pd9n3zfi7f'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. It segments into 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://economic-harlequin-dvrmhteybv-pd9n3zfi7f.edgeone.app/

Page Load Overview

2.37s
Total Load Time
3
HTTP Requests
2
Domains
621 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:en
Text Length:175 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
news media journalism
50%
technology software
49%
cryptocurrency blockchain
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.67.209.148United States
AS13335CLOUDFLARENET
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D7151A6DDA70842B517C4501BBAE38A3588545B901FC7A83BACB3E8DF825C5D4E338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nZVfRhx2F7SF//IxVie2PFfOfnOJ1O/+09A9YYQwarHmaAgb+j4HMhNV:nZfhk7+gvLo709KYjliaAgb+j4Hq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3694:OAAERoQAAaAAgBAIAQKB1SAAgQAAIACIBAAAQiQgABAEAAAAYAGEILKQDAAgAQGzhIABBBAgoXVICKQoAYBACAAhMIIAAoNB

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:1818180818180000
Perceptual Hash:cc9933cc3333cccc
Difference Hash:32323230b2b20c30
Wavelet Hash:181818183c3c0000
Color Hash:#ac5369

Other Hashes

Crop Resistant:32323230b2b20c30

Scan History

Scan history not available

Unable to load historical scan data