Security Scan Report: inscash-h97m05a8ei.edgeone.app

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Submitted: Dec 3, 2025, 8:20:35 AMCompleted: Dec 3, 2025, 8:22:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is inscash-h97m05a8ei.edgeone.app and was registered NaN years ago.

Submitted URL: https://inscash-h97m05a8ei.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: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain (> 2 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
No redirects or external links
Low ranking mitigated by domain age and lack of suspicious activity
Domain age information unavailable

Details

Page Title

Radio ADs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'inscash-h97m05a8ei.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'inscash-h97m05a8ei'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Word splitting yields 2 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://inscash-h97m05a8ei.edgeone.app/

Page Load Overview

0.14s
Total Load Time
2
HTTP Requests
1
Domains
1 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:40 chars
Detector Agreement:100%

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
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

T10431F05AD3D30406B463E8D05FF267046BA8C41B920BCDA93ADD72D8CF4919A95E330C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRjC2xiC9W6vRHvdcl+5/VffzZN06QHXr7O3bGuz8uVJwJffcmmDj:T5v1clgj6N2qJcz/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1611:AAAAEBAAIAEAAAADAAAFAAAAASAAgAgABOEAACQIAAAABAAgAAEAEQAEEAAAAAEIASAAAAACgAECACAgAEACAAAAAgAAAgAA

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:0000003c3c3c0000
Perceptual Hash:caf534cb8b3c8a34
Difference Hash:0105616969690701
Wavelet Hash:f1f1e1fcbcbc8001
Color Hash:#40bf59

Scan History

Scan history not available

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