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Security Scan Report: maximum-harlequin-x1mkjq042y-at6q0kvjsw.edgeone.app

Submitted: Feb 25, 2026, 11:59:31 AMCompleted: Feb 25, 2026, 12:00:45 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is maximum-harlequin-x1mkjq042y-at6q0kvjsw.edgeone.app and was registered NaN years ago.

Submitted URL: https://maximum-harlequin-x1mkjq042y-at6q0kvjsw.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate moving services site with low risk.

Safety Factors
Content aligns with a legitimate packing and moving service
No collection of sensitive personal or financial data
Hosted on a known development platform (edgeone.app)
Clean JavaScript behavior and no obfuscation concerns
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Mandal Packers and Movers | Trusted Since 1995

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(34%)

Domain Information

Within the application-focused generic top-level domain (.app), 'maximum-harlequin-x1mkjq042y-at6q0kvjsw.edgeone.app' is registered and includes subdomain 'maximum-harlequin-x1mkjq042y-at6q0kvjsw'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://maximum-harlequin-x1mkjq042y-at6q0kvjsw.edgeone.app/

Page Load Overview

0.38s
Total Load Time
3
HTTP Requests
2
Domains
6 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:1,369 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service34% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
34%
social media network
31%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.201.164Singapore
AS15169
143.152.26.58Singapore
AS139341ACE
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137C1C7B7E240211B287791F274B15BDD71A6CB5BE4960C95F0F8A3AD9BC48CE883534C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T1DQu8uTr7EXEtOoLGViIP+STtoG2CZ7VZCgbZAZNAqsZuZPKZhEbZxtdZ1LbZK/:p/8u7BHGo++uoG2a7zh8j4WPChIxJ15+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6070:KIEJVRIACIegBAZQgAgAWBB3BFAgghgAAQAAEABAIAYQs2lFLECQAUYXNMECSIAolDWAAhBLIVECE6gkEBIOQQgMgCBQibAg

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:0000ffffffffffff
Perceptual Hash:bc08080bb2f3f7d6
Difference Hash:f3f336382a362026
Wavelet Hash:000000cfffc3fff3
Color Hash:#3a7841

Other Hashes

Crop Resistant:f3f336382a362026,dff3b3f3f3b3b3ef

Scan History

Scan history not available

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