Security Scan Report: wasteful-harlequin-4lkl1hhdhz-vksxo8ezmb.edgeone.app

Submitted: Mar 29, 2026, 7:06:18 AMCompleted: Mar 29, 2026, 7:07:26 AMpubliccompleted
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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 wasteful-harlequin-4lkl1hhdhz-vksxo8ezmb.edgeone.app and was registered NaN years ago.

Submitted URL: https://wasteful-harlequin-4lkl1hhdhz-vksxo8ezmb.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
Page content appears to be a simple file collection listing
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(80%)

Domain Information

The domain name 'wasteful-harlequin-4lkl1hhdhz-vksxo8ezmb.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'wasteful-harlequin-4lkl1hhdhz-vksxo8ezmb'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Breaking it apart gives two 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://wasteful-harlequin-4lkl1hhdhz-vksxo8ezmb.edgeone.app/

Page Load Overview

0.61s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:67 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

education learning80% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
80%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C712C5CAEBE306C9A81BC4682FFF5325222DE053D449C95DB99E0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBzhkh1RaXQl:KrzhNK/lMHmGgdkqGyd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9612:ZQUC1nAGBRMSNBUUIU2g1AAqSAGkDQQANFANAABKyDAQAYEIQMS0wyKQSYcCBMaCgTicVQAmSMpahAhBCCImCC8COCaWBOED

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:dcfcfce0c0808000
Perceptual Hash:de9a98386c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#86622d

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data