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Security Scan Report: fellow-amaranth-96so3djr8y-xje478tktq.edgeone.app

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Submitted: May 8, 2026, 8:10:02 AMCompleted: May 8, 2026, 8:11:28 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is fellow-amaranth-96so3djr8y-xje478tktq.edgeone.app and was registered NaN years ago.

Submitted URL: https://fellow-amaranth-96so3djr8y-xje478tktq.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows a personal message, has no forms or malicious code, and despite a low ranking and unknown subdomain age, poses low risk.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware signatures
Cross‑origin request only to benign formsubmit.co endpoint
Domain age information unavailable

Details

Page Title

For Aakarti 💖

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(49%)

Domain Information

The domain name 'fellow-amaranth-96so3djr8y-xje478tktq.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fellow-amaranth-96so3djr8y-xje478tktq'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. It segments into two 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://fellow-amaranth-96so3djr8y-xje478tktq.edgeone.app/

Page Load Overview

0.61s
Total Load Time
7
HTTP Requests
4
Domains
46 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:109 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content49% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
49%
healthcare medical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.208.5United States
AS13335Cloudflare, Inc.
143.152.26.58Singapore
AS139341ACE
1142.251.127.95United States
AS15169Google LLC
1142.251.20.94United States
AS15169Google LLC
74--

Detected Technologies1

jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5C1B79BD5630901512BD2827FA3134119305103F94BCF9C7BEE9748CFCAD9CA6A7AB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TCu7Tg5YaLmyoW/vXSCy+8/cCgymyVJUvVmhEl15HNL4LK/6RSjZQG5n8sHF:BT+Y0JoW/vXSCyd/cCgdyVJ+E25HN0KX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6058:OJBIIQZEbhSgBWICHAJsSAAgUQCQNAjCwaTSA4AVwQh0AFAEDBBAAEBLgBwQAcAAYAAhiLEigHBgBRBEnEwoWAnEADiMiEQA

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:fcf0f8f8f8d8c0c0
Perceptual Hash:d98c263399cc99b9
Difference Hash:8000b0b232100000
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#2d7e86

Other Hashes

Crop Resistant:8000b0b232100000

Scan History

Scan history not available

Unable to load historical scan data