Security Scan Report: occupational-harlequin-kq5rpa1xma-hk929resgu.edgeone.app

Submitted: Apr 11, 2026, 1:28:16 PMCompleted: Apr 11, 2026, 1:29:26 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is occupational-harlequin-kq5rpa1xma-hk929resgu.edgeone.app and was registered NaN years ago.

Submitted URL: https://occupational-harlequin-kq5rpa1xma-hk929resgu.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Password‑only form on an unknown‑age edgeone.app subdomain; likely credential phishing.

Risk Factors
Credential‑harvesting form (password‑only field)
New/unknown‑age subdomain on a free hosting platform
Low ranking domain for a brand‑related page
Domain age information unavailable

Details

Page Title

GURU GARMENTS - Inventory Management

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(41%)

Domain Information

The domain name 'occupational-harlequin-kq5rpa1xma-hk929resgu.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'occupational-harlequin-kq5rpa1xma-hk929resgu'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Segmentation suggests two 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://occupational-harlequin-kq5rpa1xma-hk929resgu.edgeone.app/

Page Load Overview

0.80s
Total Load Time
2
HTTP Requests
1
Domains
18 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:656 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service41% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
41%
finance banking
30%
documentation technical
30%

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

T11A23E51A71F31432AA5331BDABEB47463B34C047E549DC507E8C17848F96A968ABB7CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KpVkoeCFNb1DmiZiD+8WA+MpvUOjgZFMqF0ob/fCKx1F5/wxaki4h/:OveCFNb9miYxYJffmQkig/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46194:kIEExBHIIACKBAAkT0AAG9yFAOGO/AACiAkRA8A9boMC5wCZCUIIIAlBAw8C4gS1EzBIsDSqACgBmCinAEAABAnkSR6ACHb5

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:c0c0989818180000
Perceptual Hash:d98c663399cc9933
Difference Hash:000c323232320400
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#211f93

Scan History

Scan history not available

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