Security Scan Report: double-harlequin-fcdg8ncmz2-y6tyxddcqq.edgeone.app

Submitted: Mar 13, 2026, 2:13:36 AMCompleted: Mar 13, 2026, 2:15:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is double-harlequin-fcdg8ncmz2-y6tyxddcqq.edgeone.app and was registered NaN years ago.

Submitted URL: https://double-harlequin-fcdg8ncmz2-y6tyxddcqq.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%

1
Risk Score

No malicious activity detected; the site is unreachable and shows no risk indicators.

Safety Factors
Unreachable page – no active content to exploit
Absence of credential or payment collection fields
No known malicious Indicators of Compromise
No JavaScript behavior indicative of credential exfiltration or malware
Domain age information unavailable

Details

Page Title

Luiz Eduardo | Ofertas Tech

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

The domain 'double-harlequin-fcdg8ncmz2-y6tyxddcqq.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'double-harlequin-fcdg8ncmz2-y6tyxddcqq'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://double-harlequin-fcdg8ncmz2-y6tyxddcqq.edgeone.app/

Page Load Overview

8.15s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:846 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
38%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154A1226688F34173A0A3E4E227E79F093BC99613D916C52036EC1A904FD4DD1B963A4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:oy4JoJyOPjg2r1EFX7JINBrbLze1M6MIAmLNS:oyNTPjg2r1EFrJIvq5M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4791:vAAKFMgAAYAIUOELAQEQAAQEAIAAVwCFB4IQBYAAsEAIACQF4gQCIUggA6AwAAABoAUBAiqAaFgAFAiQgAIAEAjAVYACICgA

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:183c3c007e7c0038
Perceptual Hash:8abc39c58d39c3c6
Difference Hash:f1f1c5d9c4c1c3d1
Wavelet Hash:3d193c387e7c1839
Color Hash:#66ac53

Other Hashes

Crop Resistant:f1f1c4d9c4c0c3d9

Scan History

Scan history not available

Unable to load historical scan data