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Security Scan Report: deep-coffee-yyrexhb4ho-llpwi5u82h.edgeone.app

Submitted: Mar 2, 2026, 2:48:42 AMCompleted: Mar 2, 2026, 2:50:10 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is deep-coffee-yyrexhb4ho-llpwi5u82h.edgeone.app and was registered NaN years ago.

Submitted URL: https://deep-coffee-yyrexhb4ho-llpwi5u82h.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Page mimics Zomato on a new edgeone.app subdomain; moderate‑risk brand impersonation.

Risk Factors
Brand impersonation of Zomato on a non‑official domain
New/unknown subdomain on a free hosting platform
Low domain ranking for a well‑known brand
Safety Factors
No password or payment forms detected
No malicious Indicators of Compromise
No JavaScript YARA malware patterns
No network IDS alerts
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(95%)

Domain Information

Domain 'deep-coffee-yyrexhb4ho-llpwi5u82h.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'deep-coffee-yyrexhb4ho-llpwi5u82h'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Word splitting yields 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://deep-coffee-yyrexhb4ho-llpwi5u82h.edgeone.app/

Page Load Overview

0.83s
Total Load Time
8
HTTP Requests
3
Domains
267 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:142 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software95% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
95%
documentation technical
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.127.94United States
AS15169
243.152.26.58Singapore
AS139341ACE
2142.250.201.170United StatesUnknown
83--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19BC1733893481E3DB1038799FAB5777812AEE283D30F640CF5B911716187D89AC7B6E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tw5MEgkaPBOxKYktON/UkxXUvzUHN/GkD+5N/8kZVNH:U4R0xLE6/UCXkQt/Gh/8uXH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5864:QBAEhCLwoQAYjAQCZoQAJA4ABCADhQgAoAARBDAGIjMYMiEKZoCIBxCRpBAABRAoRwgjoIkDhIABCAgEbUcUEJgJBFwMAEAc

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:18242408082c0818
Perceptual Hash:b366cc99cc99cc26
Difference Hash:322a28125a5a5a32
Wavelet Hash:1b03030bcbcbcbdb
Color Hash:#9653ac

Other Hashes

Crop Resistant:322a28125a5a5a32

Scan History

Scan history not available

Unable to load historical scan data