Security Scan Report: walkietalkie-cfnnit80qs.edgeone.app

Submitted: Apr 11, 2026, 3:37:33 AMCompleted: Apr 11, 2026, 3:38:55 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 9 HTTP transactions. The main domain is walkietalkie-cfnnit80qs.edgeone.app and was registered NaN years ago.

Submitted URL: https://walkietalkie-cfnnit80qs.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site impersonates Google on a low‑rank edgeone.app subdomain; no malicious code found but brand misuse makes it high risk.

Risk Factors
Brand impersonation of Google on low‑ranking domain
Subdomain on a free hosting platform with unknown age
Low Cisco Umbrella ranking for a site claiming a major brand
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(90%)

Domain Information

The domain name 'walkietalkie-cfnnit80qs.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'walkietalkie-cfnnit80qs'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Segmentation suggests 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://walkietalkie-cfnnit80qs.edgeone.app/

Page Load Overview

0.57s
Total Load Time
7
HTTP Requests
2
Domains
133 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:100 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software90% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
90%
documentation technical
61%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
3192.163.208.117United States
AS46606Unified Layer
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C41D72461041A7E2603CBA0F5A2FB644ACDD705D65A9024E0BD02766FCFC81C86BAB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TwfBG7ME/cMXzeEnk92ib4fZsUIxpMsN0xb:Twfq3kMyEnkwQ4h8Eb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1895:ABEAQAAAhIAUAAUAAAAADIAAAIACIABAAAQAABAEQAAAAIAJAAQAAAACAAABABAAAAAAAAACgUAiAAEAAAgECAIAAAAAABgE

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:ffffe7e7e7e7ffff
Perceptual Hash:e6cc991966666699
Difference Hash:0c324d4d4d4d320c
Wavelet Hash:0c0c0000c0c0fcfc
Color Hash:#c587c1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data