Security Scan Report: visiting-green-lxtteod5fs-x4v1a9o36w.edgeone.app

Submitted: Nov 24, 2025, 6:16:35 PMCompleted: Nov 24, 2025, 6:17:46 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 6 domains to perform 14 HTTP transactions. The main domain is visiting-green-lxtteod5fs-x4v1a9o36w.edgeone.app.

Submitted URL: https://visiting-green-lxtteod5fs-x4v1a9o36w.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

Viral Content AI - Raju Yadav

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(81%)

Domain Information

Domain 'visiting-green-lxtteod5fs-x4v1a9o36w.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'visiting-green-lxtteod5fs-x4v1a9o36w'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Segmentation suggests two 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://visiting-green-lxtteod5fs-x4v1a9o36w.edgeone.app/

Page Load Overview

1.78s
Total Load Time
14
HTTP Requests
6
Domains
383 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:495 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%
technology software
49%
adult content
45%
documentation technical
39%
entertainment media
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.26.2.143United States
AS13335CLOUDFLARENET
4142.250.184.227United States
AS15169GOOGLE
3104.17.25.14United States
AS13335CLOUDFLARENET
2142.250.186.42United States
AS15169GOOGLE
243.152.26.58Singapore
1151.101.129.229San Francisco, California, United States
AS54113FASTLY
1104.26.3.143United States
AS13335CLOUDFLARENET
0151.101.193.229San Francisco, California, United States
AS54113FASTLY
0104.17.24.14United States
AS13335CLOUDFLARENET
0172.67.68.11United States
AS13335CLOUDFLARENET
1423--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDE2F72531B100376C53C0F6E7D2BA6DF92AA1C7DE1BC6A9B58D4104AFD7AF1489B384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QF9SczgHhL7sGfmDfzR9mzd+WbQFJww2HVrjK2s5nZa0oGwr:QF9ScEHhntgR9ad+WbQH21rjDWChr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31917:IlDMFIyBGBYgYgAACFoAQwABBIIxMEtFOMA8EIJN+wSJiEagEzFNiYBQJYlcCwIaGoF8CIWUokCwmKkABQcoQGBgSRI0AIQA

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:0000181818180000
Perceptual Hash:88667399cc6699dc
Difference Hash:1000303030300010
Wavelet Hash:81193d3d3d3d3d01
Color Hash:#87d279

Other Hashes

Crop Resistant:1000303030300010

Scan History

Scan history not available

Unable to load historical scan data