Security Scan Report: visiting-green-lxtteod5fs-6s5vsdlg12.edgeone.app

Submitted: Nov 27, 2025, 9:02:01 AMCompleted: Nov 27, 2025, 9:02:39 AMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 3 countries across 5 domains to perform 12 HTTP transactions. The main domain is visiting-green-lxtteod5fs-6s5vsdlg12.edgeone.app.

Submitted URL: https://visiting-green-lxtteod5fs-6s5vsdlg12.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_Business Ideas Telugu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(96%)

Domain Information

You're looking at domain 'visiting-green-lxtteod5fs-6s5vsdlg12.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'visiting-green-lxtteod5fs-6s5vsdlg12'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Breaking it apart gives 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-6s5vsdlg12.edgeone.app/

Page Load Overview

0.34s
Total Load Time
12
HTTP Requests
5
Domains
364 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:398 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
entertainment media
83%
technology software
81%
adult content
48%
corporate business
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.17.25.14United States
AS13335CLOUDFLARENET
3142.250.181.227United States
AS15169GOOGLE
2142.250.181.234United States
AS15169GOOGLE
243.152.26.58Singapore
1104.26.2.143United States
AS13335CLOUDFLARENET
0104.17.24.14United States
AS13335CLOUDFLARENET
0172.67.68.11United States
AS13335CLOUDFLARENET
02606:4700:20::ac43:440bUnited States
AS13335CLOUDFLARENET
02a00:1450:4001:82f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02606:4700:20::681a:28fUnited States
AS13335CLOUDFLARENET
1215--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEE2C72622501026AD53D2E5FAD1EB1DF13F91C7DA1B8ABDB9CE1004DBCE6E858DB740

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jF9Cmu0OzZT3qSVKP01JdwYL9c8hL79Yf/W+WbQ/NRDA2D:jF9Cmu0O1T6SVKPAwu9c8hnKW+WbQvDv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31871:qAGzESwAgULQCYYibKSFMEIKgBsFHLJFKI1DCmCCeASYgBgIUVGTiwACAABFVnHIAQEIJA1FchADAGNQQAKG4FAUBdhIAy2Y

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:003c3c3c203c3c00
Perceptual Hash:c66d3192659a9e65
Difference Hash:e0d4f0f0c4f0f0d4
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#ac5378

Other Hashes

Crop Resistant:e0d4f0f0c4f0f0d4

Scan History

Scan history not available

Unable to load historical scan data