Security Scan Report: bewildered-apricot-p4x0egzc-dp55k34it38s.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 3 domains to perform 18 HTTP transactions. The main domain is edgeone.app and was registered 3 years 6 months ago.

Submitted URL: https://bewildered-apricot-p4x0egzc-dp55k34it38s.edgeone.app/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page hosts a credential phishing form impersonating a security terminal on an unknown subdomain; high risk.

Risk Factors (4)
Unknown domain age
Unranked domain
Brand impersonation of a different entity
Credential collection form on a hosting‑platform subdomain
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Domain Name Analysis

Domain 'bewildered-apricot-p4x0egzc-dp55k34it38s.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'bewildered-apricot-p4x0egzc-dp55k34it38s'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

GATE LOCKOUT PROTOCOL: Authentication Required to Statfon Terminal Mohalla-App SOCIETY SECURITY CORE PALM HEIGHTS SECURITY, seeded accounts shown below to test different society, location or admin...

Page Load Overview

3.62s
Total Load Time
358 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:943 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
39%
government public service
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18101.33.10.10Frankfurt am Main, Hesse, Germany
181--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D22255715124263F695B4BE1F520773961AED3CCEA0B407CE1AD82B11FC6DB1EDAE284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nwKk9UnB7LaSLHBUZHt8ukeEA1XhZknK1ChktxK55DRtNj2iGZCkAjU1cCkDQqUT:w6Ft28uf9RZoRRBj+ApjUReBU3TLL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10244:gYBAAARAMA+ihdwFFEJgBEwlZEpHAInQIIIGQLWpSgEAIDhVEZgEpYpZgQAAgt8FZ3IYAMSkgANQEQAMiWkeBAOeCwiKxAg4

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:00e7c7ffffe7ffff
Perceptual Hash:b3360c4d8d4d3376
Difference Hash:700c4c0a0e4c4c4c
Wavelet Hash:00c2c2e6e6e6e6e7
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data