Security Scan Report: separate-amber-yeqknhenm1-kfwhyckfci.edgeone.app

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Submitted: May 2, 2026, 7:41:40 PMCompleted: May 2, 2026, 7:42:58 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is separate-amber-yeqknhenm1-kfwhyckfci.edgeone.app and was registered NaN years ago.

Submitted URL: https://separate-amber-yeqknhenm1-kfwhyckfci.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Moderate risk due to unknown subdomain age and brand claim on a low‑ranking hosting subdomain; no malicious activity detected.

Risk Factors
Unknown subdomain age (could be brand new)
Low Cisco Umbrella ranking for a site claiming a brand
Brand impersonation claim without verification
Hosted on a generic subdomain platform (.edgeone.app)
Safety Factors
No forms, no credential fields
No malicious JavaScript or network alerts
Domain age information unavailable

Details

Page Title

Rameshwari Stationers | Official Billing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain 'separate-amber-yeqknhenm1-kfwhyckfci.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'separate-amber-yeqknhenm1-kfwhyckfci'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://separate-amber-yeqknhenm1-kfwhyckfci.edgeone.app/

Page Load Overview

0.57s
Total Load Time
3
HTTP Requests
2
Domains
195 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:460 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
51%
education learning
51%
finance banking
41%
documentation technical
36%
adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1104.17.25.14United States
AS13335Cloudflare, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C52A58770F7147285E760FA7AE3C74938608207EA06C9447CAC5195DF86D24A9FB7CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aBwVnYM8F5/wGFlDzC9JXvFQSTqHjGLLIK8kpI9uACnvRaroGHcPpKdAdHRgsCQm:q5YMQFQSTqi3xvoIKaBQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13261:KxAgkACIABhNB3BwIMsgmZAhcATIAhCGwY7FTqQWOEUQBYEAZSGgCLIHwEosoCFmlCFAFEUrSVYgTCABECEQGJbg5EAWC7Iw

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:00c3ffffffffffff
Perceptual Hash:b8386d4d4f4b1a9a
Difference Hash:b296b10600000000
Wavelet Hash:00001c00f0f0f0f0
Color Hash:#783e3a

Scan History

Scan history not available

Unable to load historical scan data