Security Scan Report: frequent-aqua-calgeluzht-k275mwpgi1.edgeone.app

Submitted: Feb 26, 2026, 3:00:55 AMCompleted: Feb 26, 2026, 3:02:39 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is frequent-aqua-calgeluzht-k275mwpgi1.edgeone.app and was registered NaN years ago.

Submitted URL: https://frequent-aqua-calgeluzht-k275mwpgi1.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Enquiry Form

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'frequent-aqua-calgeluzht-k275mwpgi1.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'frequent-aqua-calgeluzht-k275mwpgi1'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Word splitting yields 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://frequent-aqua-calgeluzht-k275mwpgi1.edgeone.app/

Page Load Overview

0.96s
Total Load Time
9
HTTP Requests
4
Domains
4 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:12 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.58.206.78Singapore
443.152.26.58Singapore
92--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1471110E789A344297872E9541FE725884E90D52BA28ACDD97FCD72E4CFC87C3889174C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR2ACJpTcX616OaPx0JieTKW4W2fVMGGabWj:T+c6qx4iW2zU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1086:AAAAAQAAAQCAAAAAAAAAAEAAAEAAAAAAACBAAgACAAAAAAAAABACAABAAKAAAQAIAAQABAEAgAAAAAAAAAAAAAAAAAAAAAAA

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:c2eee6e6feffff00
Perceptual Hash:f575323167266664
Difference Hash:9c98948490949090
Wavelet Hash:00cee6e6dede5e00
Color Hash:#87c5c5

Other Hashes

Crop Resistant:9c98948490949090

Scan History

Scan history not available

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