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Security Scan Report: depressed-harlequin-ewoetu0ds2-3kgl3n6k2q.edgeone.app

Submitted: Mar 27, 2026, 1:25:39 PMCompleted: Mar 27, 2026, 1:26:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is depressed-harlequin-ewoetu0ds2-3kgl3n6k2q.edgeone.app and was registered NaN years ago.

Submitted URL: https://depressed-harlequin-ewoetu0ds2-3kgl3n6k2q.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: 92%

1
Risk Score

No malicious indicators or suspicious behavior detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No IDS alerts indicating phishing or malware
Standard hosting platform subdomain without malicious content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

cryptocurrency blockchain

(81%)

Domain Information

The domain 'depressed-harlequin-ewoetu0ds2-3kgl3n6k2q.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'depressed-harlequin-ewoetu0ds2-3kgl3n6k2q'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://depressed-harlequin-ewoetu0ds2-3kgl3n6k2q.edgeone.app/

Page Load Overview

5.64s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:509 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

cryptocurrency blockchain81% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
81%
documentation technical
66%
technology software
64%
adult content
56%
healthcare medical
54%

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

T116E23194DFE42FDCB41B81449B7D7F3A6A646103A49C428CF1AE0E709F49989F4BB079

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+1QAIoy0w2waI2ISQS2YQGKIIK2wQd:wNIq1QAIoy0w2waI2ISQS2YQGKIIK2wu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32976:UDkg0CFoBqMIqAyVJESqgAoAAQAvABFBE5AKAFEpADCoqNKINOAUwBHnhIWCAtZUmCxATwgAgqDyRKBB/A5GMwoxKi2IBUUV

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:9c1c3c3c3c1c1c3c
Perceptual Hash:da75383862c7c363
Difference Hash:3030706071717170
Wavelet Hash:dcdc3c3c3c3c1c1c
Color Hash:#d22db7

Other Hashes

Crop Resistant:3030706071717170

Scan History

Scan history not available

Unable to load historical scan data