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Security Scan Report: disturbing-harlequin-dch9nfeaeh-9a4dflemq1.edgeone.app

Submitted: Feb 7, 2026, 7:21:14 PMCompleted: Feb 7, 2026, 7:23:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is disturbing-harlequin-dch9nfeaeh-9a4dflemq1.edgeone.app and was registered NaN years ago.

Submitted URL: https://disturbing-harlequin-dch9nfeaeh-9a4dflemq1.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (> 365 days old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting environment
Domain age information unavailable

Details

Page Title

disturbing-harlequin-dch9nfeaeh-9a4dflemq1.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(80%)

Domain Information

The domain 'disturbing-harlequin-dch9nfeaeh-9a4dflemq1.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'disturbing-harlequin-dch9nfeaeh-9a4dflemq1'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Tokenizing the label 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://disturbing-harlequin-dch9nfeaeh-9a4dflemq1.edgeone.app/

Page Load Overview

14.14s
Total Load Time
3
HTTP Requests
1
Domains
4 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:73 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media80% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
80%
adult content
55%
documentation technical
54%
social media network
48%
news media journalism
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8Old2:uhoC9JSqzzbs6o3Sj3gcrsU2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184661:CggJAOItNIgSwEhWRRUIXwQZEhlAAwhAATYk6SRLZNCunAZoRDBAHEUIgBRRAEGHBQW0LDMBCRAQBgTG+igBBaABrIBqFL4M

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#69d22d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data