Security Scan Report: separate-amber-yeqknhenm1-6u7e1ea0r7.edgeone.app

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Submitted: May 9, 2026, 10:19:18 PMCompleted: May 9, 2026, 10:20:39 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-yeqknhenm1-6u7e1ea0r7.edgeone.app and was registered NaN years ago.

Submitted URL: https://separate-amber-yeqknhenm1-6u7e1ea0r7.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: 78%

5
Risk Score

Moderate risk site; brand claim on an unknown‑age subdomain with low reputation – avoid providing personal or payment information.

Risk Factors
Unknown subdomain age (treated as new)
Low domain ranking in Cisco Umbrella
Brand claim on a low‑reputation hosting subdomain
Hosted on a generic platform (.edgeone.app) without established reputation
Safety Factors
No malicious JavaScript patterns detected
No credential exfiltration or cross‑origin form submissions
No network‑level IDS alerts or known Indicators of Compromise
Domain age information unavailable

Details

Page Title

Rameshwari Stationers | Official Billing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(52%)

Domain Information

Within the application-focused generic top-level domain (.app), 'separate-amber-yeqknhenm1-6u7e1ea0r7.edgeone.app' is registered and includes subdomain 'separate-amber-yeqknhenm1-6u7e1ea0r7'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Tokenizing the label suggests 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://separate-amber-yeqknhenm1-6u7e1ea0r7.edgeone.app/

Page Load Overview

0.53s
Total Load Time
3
HTTP Requests
2
Domains
194 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:293 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning52% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
52%
documentation technical
37%
finance banking
35%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.24.14United States
AS13335Cloudflare, Inc.
143.152.26.58Singapore
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11332B64770F2247686D750E6B9E3CB893871C207EA0688807C9C61D1DF96D68A9FB6DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aBwVnYM8F5/wGFlDzC9JQslK0+jniZlVpJDWJW7VMtLXb7t8jkadnFN+RCsCQm:q5YMpslK0tdVmLnaneQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11529:BAEAhkhkKeKCZhBhMowi0QEEMwQR4DIAYeQIEwCmHkBCAaZC1S2ioECGYAPcwkCFK2TCRF0+hCkORgSRyFLEAA0AwkQaJbIK

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:b8386c4d4f4f1a9a
Difference Hash:b296a10600000000
Wavelet Hash:00001c000f0f0f0f
Color Hash:#723a78

Scan History

Scan history not available

Unable to load historical scan data